Engineering Manager Jobs At Meta

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineering Manager Responsibilities: 1. Drive the vision for Business Intelligence (BI) and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision. 2. Define the processes needed to achieve operational excellence in all areas, including project management and system reliability. 3. Build a high quality BI and Data Warehousing team and design the team to scale. 4. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. 5. Coordinate data warehouse plans across a product vertical. 6. Drive the design, building, and launching of new data models and data pipelines in production. 7. Oversee development of data resources and support new product launches. 8. Drive data quality across the product vertical and related business areas. 9. Oversee the delivery of high impact dashboards and data visualizations. 10. Define and manage SLA's for all data sets and processes running in production. 11. Telecommute from anywhere in the U.S permitted. **Minimum Qualifications:** Minimum Qualifications: 12. Requires a Master's degree (foreign degree equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Statistics, Physics or related field, and 4 years of work experience in job offered or in a data analytics or data warehousing-related occupation. 13. Requires 24 months of experience in the following: 14. 1. ETL (Extract, Transform, Load) 15. 2. Data modeling 16. 3. Relational databases (SQL or PL*SQL) 17. 4. Python, Perl, XQuery, JavaScript or Java 18. 5. Hadoop, Hive, MapReduce, or MPI 19. 6. Linux or Unix 20. 7. Shell scripting and performance tuning. **Public Compensation:** $304,043/year to $325,270/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. About the Team: The Knowledge Extraction and Linking (KEL) Team, a cornerstone of LinkedIn's Core AI organization, is building the foundations for the next generation of AI products. Operating at the intersection of Large Language Models (LLMs) and Knowledge Graphs, our team drives innovation in semantic understanding and query comprehension across LinkedIn's product lines. We leverage cutting-edge LLM technologies to extract, infer, and link entities and concepts from vast amounts of professional content, building and maintaining LinkedIn's comprehensive knowledge graph. As part of LinkedIn's Core AI organization, our team's work forms the foundation for numerous downstream applications, from talent search and skill recommendations to content understanding and professional identity verification. Through advanced semantic understanding and query interpretation, we enable more precise and meaningful connections between LinkedIn's one billion members and massive economic opportunities. Our current initiatives focus on enhancing semantic understanding and query comprehension, directly impacting how professionals discover opportunities, connect with others, and navigate their careers. Key projects that this role will be responsible for include: Query Understanding and Annotation Organization and People Entity Resolution (OER) Large Language Modeling and Serving (LLM) Location: At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This role will be based in Sunnyvale, CA. Responsibilities: As the AI Manager for the Knowledge Extraction and Linking Team, you will lead a talented team of Applied Researchers and Machine Learning Engineers in developing cutting-edge LLM-powered solutions for entity resolution, semantic understanding, and knowledge graph enhancement. This role offers a unique opportunity to shape the future of professional knowledge systems while directly impacting hundreds of millions of professionals worldwide. Lead and mentor a team of ML engineers and researchers in developing state-of-the-art LLM and knowledge graph solutions Drive technical strategy for integrating large language models with knowledge graph technologies Participate in key technical and design discussions with technical leads across multiple projects Collaborate with application engineering, product, and partner teams to design scalable machine learning solutions Implement and maintain best engineering and scientific practices to ensure team productivity Drive faster iterations via A/B experiments and data-driven decision making Attract and retain world-class talent while providing technical guidance and career development Basic Qualifications: 5+ years of professional experience, including significant work with AI algorithms, Machine Learning, LLMs, and/or related engineering disciplines. 1+ year(s) of experience in a Manager role. Bachelor's degree in Computer Science or related technical field or equivalent technical experience Preferred Qualifications: 2+ years of experience as an Engineering Manager or TLM, leading AI engineering or research teams. 7+ years of total professional experience in AI, Machine Learning, or related areas. MS or PhD in Computer Science, Machine Learning, Statistics, or related fields Experience with knowledge graphs and entity linking systems Deep understanding of modern ML frameworks and large-scale AI systems Experience with attention-based models and embedding techniques Proficiency in knowledge graph technologies and entity resolution Strong background in MLOps and experimentation frameworks Expertise in Python, Java, and distributed computing systems Suggested Skills: Engineering Leadership Large Language Models (LLM) AI Engineering ---- You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $200,000-$268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement: LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. Team Overview: The Enterprise AI team is responsible for 7B$+ LOBs at LinkedIn across Hirer, Learning and Enterprise Jobs verticals. The Hirer AI team is responsible for connecting individuals to opportunities and is building the next generation recruiter platform consisting of GenAI powered tools such as AI assisted search and automated in Mails. The exciting new charter of Hiring Assistant which will revolutionize recruiting workflows, is also LinkedIn's #1 priority. The work in the team includes building, tuning and applying generative AI models where relevant, working with Open AI to power GAI applications where relevant and innovating on cutting edge search and recommendation models to retrieve the best candidates for a given role. The LinkedIn Learning AI team is responsible for revolutionizing the online learning space and career development for employees by transforming the way users acquire new skills, improve existing ones, and prepare for the next challenges in their careers. By leveraging Generative AI, and Search & Recommendation technologies we power Learning recommendation, Learning search, and LLM-powered copilot systems specifically designed to empower our users to achieve their learning goals. The Enterprise Jobs AI team is responsible for connecting millions of job opportunities to our members and creating the best talent matching experience for our clients. There are opportunities to also work on cross-functional technologies that power job creation and promotion systems. Location: At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This is a full-time engineering role based in Sunnyvale, CA. Responsibilities: As the manager in the Enterprise AI team, you will work with highly experienced and passionate AI Engineers and a very brilliant cross functional team, all laser-focused on creating platforms to connect all individuals in the global workplace to all the global opportunities and to create an impact on the learning, career development and job finding journeys of millions of LinkedIn users! With Enterprise being the largest line of business for LinkedIn, and an opportunity to scale the team significantly, this is a 'hyper-growth' role for a manager. Directly responsible for a team of 6-10 engineers. Work closely with various other teams (Product, Applications, Infrastructure, Vertical AI teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration. Participate in key technical and design discussions with technical leads in the team. Define and leverage best practices for engineering and research to ensure optimal productivity and drive faster iterations. Attract world class talent and provide technical guidance, career development, and mentoring to team members. Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments. Basic Qualifications: 5+ years of related industry experience in Machine Learning, development, and algorithm related solutions 1+ year(s) of management experience leading a AI/ML engineering team, or 1+ year(s) of Staff level AI/ML engineering experience with management training BA/BS in Computer Science or other technical discipline, or related practical technical experience Hands on experience in data modeling, AI, and machine learning Preferred Qualifications: 2+ years of experience in Machine Learning or AI Engineering management and people leadership, ideally leading teams of 5+ individuals. MS or PhD in Computer Science, Machine Learning, Statistics or related fields 7+ years of hands on experience in data modeling and machine learning Experience driving impact with Generative AI products and Search and Recommendation systems Suggested Skills: AI Engineering Leadership Machine Learning, Big Data and Deep Learning Program Management ---- You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation Disclosure: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $200,000-$268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement: LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world, with revenue north of $6B+. We help organizations grow. The LMS AI Engineering Team leverages science and engineering to maximize the power of data and is responsible for the AI technology fueling our Ads business - building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform, and ad products. As a Director of Engineering- AI, you will be responsible for leading a team of world class applied researchers and ML/AI engineers who are solving cutting-edge AI problems to empower large & small businesses to reach, engage, and convert professional audiences at scale. You'll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists and engineers on the planet, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team build industry leading AI solutions for the advertising ecosystem. Responsibilities: You will build and ship software, drive architectural decisions and implementation across LMS teams. You will drive the adoption of cutting-edge solutions and methods to enable innovative marketing solutions products. You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy. You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. You will act as one of the primary domain experts to influence technology choices. You will lead by example to build a culture of craftsmanship and innovation. Qualifications Basic Qualifications Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields 5+ years of experience in management positions Preferred Qualifications Strong background in AI/ML techniques with applications to the Advertising domain. A proven track record of delivering end-to-end solutions for high QPS systems, working with massive amounts of high frequency data. Experience managing teams of 40+ individuals and first/second-line managers. Ability to lead by example and inspire the team to perform at a high level, and collaborate very well across different teams. Good understanding of large-scale engineering systems and some or all of big data technologies like Hadoop, Spark, distributed key-value stores, streaming processes, recommender systems, statistical methods, and experimental design. Highly motivated and able to work with ambiguous fast-changing problem landscapes, convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across partners. Strong leadership abilities in order to communicate and drive cross-functional efforts. Good relationship building and people skills. Publications at conferences and patents are highly desirable. Suggested Skills: * People Leadership * Ads experience * AI/ML experience You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We are much more than a digital resume - we transform lives through innovative products and technology. Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This is a hybrid position based out of our Sunnyvale, CA Headquarters. The Dev Platforms and Experiences (DPX) organization has the mission of making everyone in LinkedIn R&D more productive and successful. The charter includes all our core developer infrastructure to Build, Test and Deploy our software, the applications frameworks that we leverage to build our user facing products and the Platform capabilities that power our product innovation. We are looking for a Sr. Director to help build out our Testing Infrastructure and Automation teams. LI is going through a massive transformation across our core Infrastructure, Application frameworks and finally the way we structure our code (moving from highly fragmented multiple repositories to a few large repos), which will fundamentally change our developer experience. Any change requires validation and our validation infrastructure needs to be rebuilt to help us navigate these changes with predictability and reliability without slowing down the engineering organization. In addition to validation, to accelerate these transformations, automation will have to play a key role and this leader will be responsible for defining our automation strategy and how we can leverage AI to make our engineers more productive. Responsibilities: -You will build and ship software, drive architectural decisions and implementation across teams. -You will drive the adoption of cutting-edge solutions and methods to enable innovative developer focused tools and applications. -You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. -You will lead cross team/cross-functional discussions and drive alignment on technology -strategy. -You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. -You will act as one of the primary domain experts to influence technology choices. -You will lead by example to build a culture of craftsmanship and innovation. Basic Qualifications -Bachelor's degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields -15+ years of experience in management positions Preferred Qualifications -Experience managing teams of 80+ individuals and first/second-line managers. Ability to lead by example and inspire the team to perform at a high level and collaborate very well across different teams. -Good understanding of large-scale engineering systems. -Engineering development experience, building products and backend systems, infrastructure services. -Background in leverage LLM to build products (preferably developer focused applications). "Suggested Skills" -People Management -Technical Leadership - AI domain expertise LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $227,000 to $373,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Meta is seeking a forward thinking experienced Production Platform Engineering Manager to join the Data Center Site Operations team. The Production Platform Engineering (PPE) team is responsible for the overall performance of Meta's production compute, storage, and accelerator (GPU) platforms through their life-cycles in our data centers. This role will lead a subset of the overall PPE team. The role scope is focused on maintaining and improving the health of platforms from operational testing into mass production through end-of-life. Key responsibilities include identifying systemic hardware, firmware, and tooling issues; engaging in hands-on problem solving; and collaborating effectively with cross-functional engineering and tooling teams to improve performance of the fleet. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in an environment where adaptability and flexibility will be key to their success. We seek an individual who can quickly absorb and understand the technical challenges of subject matter experts and local site operations teams, create alignment between these globally distributed teams as well as partner organizations, and can set informed priorities and direction while getting buy-in and commitment from relevant stakeholders.BS or BA in technical field (electrical, computer science, or mechanical engineering) or comparable experience 10+ years experience in NPI (New Product Introduction) hardware development and/or validation, working with cross functional teams to deliver products to production Experience working across a global organization and building partnerships with cross functional teams inside and outside of the organization Experience troubleshooting and debugging hardware platforms Experience in processing and analyzing large sets of data Knowledge of server and storage platforms, principles, technologies, protocols, and standards Experience with GPU and accelerator based platform hardware that operates in computing clusters Experience managing multiple concurrent projects and managing tight timelines Experience working within an interdisciplinary team of hardware and operations engineers Experience working with Linux or UNIX Operating systems Technical skills creating documentation for users of all levels Experience mentoring others and leading technical teams Direct experience managing others Large-scale data center environment experience, including hardware deployments, system knowledge of Linux, Server Hardware, networking, network protocols, supply chain and Data Center automation Bash, PHP, Python, or Perl scripting experience Experience in data center system and process automation Leadership presentation skills

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineering Manager, Analytics Responsibilities: 1. Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components operating in facebook.com, such as advertisements and pages, as well as other custom software systems and databases. 2. Design, architect and develop data solutions that help product and business teams make data driven decisions. 3. Lead data solution design efforts from beginning to end, as well as process for the development and implementation of data integration for external insights. 4. Work on Data Warehouse and operational Data Store. 5. Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate. 6. Collaborate with data infrastructure and engineering teams to build and extend cross platform ETL and reports generation frameworks. 7. Provide consultation to business partners, analysts, managers, end users and developers to clarify work objectives, determine project scope, obtain consensus, identify problems and recommend solutions. 8. Support end users on ad hoc data usage and serve as a subject matter expert on functional matters. 9. Develop ETL using Python, Perl PHP or similar technologies. 10. Apply expert knowledge of ETL techniques and best practices to manage extremely large volumes of data, Data warehousing architecture, data modeling best practices, MicroStrategy or other similar Business Intelligence (BI) reporting solutions. 11. Work with database programming and performance tuning techniques and strong analytical skills, including the ability to define problems, collect data, establish facts, and draw valid conclusions. 12. Telecommute from anywhere in the U.S. permitted. **Minimum Qualifications:** Minimum Qualifications: 13. Requires a Master's degree in Computer Science, Applied Sciences, Mathematics, Information Systems, Information Technology, Management or related field and three years of work experience in the job offered or in a computer-related occupation. Foreign Degree Equivalent Accepted. 14. Requires three years of experience in the following: 15. 1. Data warehouse space 16. 2. Custom ETL design, implementation and maintenance 17. 3. Working with either a MapReduce or an MPP system 18. 4. Object-oriented programming languages 19. 5. Schema design and dimensional data modeling 20. 6. Writing SQL statements 21. 7. Analyzing data to identify deliverables, gaps and inconsistencies and 22. 8. Managing and communicating data warehouse plans to internal clients. **Public Compensation:** $248,920/year to $279,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Are you interested in solving complex problems that translate to safer experiences for people using Meta's family of apps? Do you have an adversarial mindset and are excited about investigating and analyzing potential threats? Do you enjoy building and leading a dynamic team? Come join us at Meta! Meta is seeking a manager with extensive experience investigating and analyzing financially motivated actors on our Financial Threats team in Integrity Investigations, Intelligence and Events (i3E). This person will be responsible for supporting, developing, and scaling a threat investigations team with the goal of proactively identifying and responding to threats posed to Meta's community of users. The team investigates and mitigates complex threats from scams and fraudulent activity, advances investigative methodology, and uses innovative research approaches to protect users. The impact of this work is substantial, with the potential to protect billions around the world who use our products. **Required Skills:** Security Engineering Manager, Financial Threats Responsibilities: 1. Support a team of security engineers and security analysts who discover, detect, investigate, and respond to threats from financially motivated actors 2. Influence the organization's vision and strategy, while engaging the team to develop and deliver specific roadmaps and projects. Ensure prioritization, resourcing, and timely delivery of work within a dynamic business environment. 3. Coach, mentor, support, and care for the team to enable long-term career development and success at scale. 4. Monitor and analyze operational metrics, key performance indicators, and team health. 5. Collaborate with and influence other teams to address challenges posed by a broad spectrum of threat actors through informed investigative findings and key intelligence. 6. Build, cultivate, and maintain positive relationships with internal partners to bolster the impact of the team's work. 7. Identify and develop areas to scale aspects of our investigations. **Minimum Qualifications:** Minimum Qualifications: 8. BA/BS or Master's degree in a technical discipline or equivalent practical experience. 9. 5+ years of work experience, including hands-on technical management, experience leading global security/investigative or integrity teams, and proven contribution at both strategic and operational levels. 10. 3+ years experience of people management and organizational leadership. 11. Experience working cross-functionally with security engineers, analysts, product, engineering, legal, policy, and communications. 12. Experience in functional or scripting language (JavaScript, PHP, Python, OCaml, etc.). **Preferred Qualifications:** Preferred Qualifications: 13. Knowledge of or experience in fraud and scams issues, or similar. 14. Experience translating tactical findings into scaled solutions. 15. Experience querying large data sets and SQL. 16. Experience working with diverse communities and global teams. 17. Demonstrated interest in understanding the intersection of global security risks and technology, especially as it pertains to Meta. 18. Experience in crisis management or incident response environments. 19. Experience "threat hunting", i.e. using threat intel to proactively and iteratively investigate potential risks and finding suspicious behavior. **Public Compensation:** $177,000/year to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll view a direct link between your work, company growth, and user satisfaction. You'll work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. **Required Skills:** Data Engineering Manager, Analytics (Monetization) Responsibilities: 1. Proactively drive the vision for Business Intelligence and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision. 2. Build a high-quality BI and Data Warehousing team and design the team to scale. 3. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. 4. Manage data warehouse plans across a product vertical. 5. Drive the design, building, and launching of new data models and data pipelines in production. 6. Drive data quality across the product vertical and related business areas. 7. Manage the delivery of high impact dashboards and data visualizations. 8. Define and manage Service Level Agreement for all data sets and processes running in production. **Minimum Qualifications:** Minimum Qualifications: 9. 8+ years of experience in BI and Data Warehousing. 10. 2+ years of experience managing people 11. Experience scaling and managing 3+ person teams. 12. Communication and leadership experience, with experience initiating and driving projects. 13. Project management experience. 14. Data architecture experience. 15. Experience in SQL or similar languages. 16. Development experience in at least one object-oriented language (Python, Java, etc.). 17. BA/BS in Computer Science, Math, Physics, or other technical fields. **Preferred Qualifications:** Preferred Qualifications: 18. Experience in a consumer web or mobile company. 19. Experience with data sets, Hadoop, and data visualization tools. 20. Advanced degree **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies. **Required Skills:** Data Engineering Manager, Analytics Responsibilities: 1. Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision. 2. Define the processes needed to achieve operational excellence in all areas, including project management and system reliability. 3. Build a high-quality BI and Data Warehousing team and design the team to scale. 4. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. 5. Manage data warehouse plans across a product vertical. 6. Drive the design, building, and launching of new data models and data pipelines in production. 7. Drive data quality across the product vertical and related business areas. 8. Manage the delivery of high impact dashboards and data visualizations. 9. Define and manage SLA's for all data sets and processes running in production. **Minimum Qualifications:** Minimum Qualifications: 10. 8+ years of experience in BI and Data Warehousing. 11. Experience scaling and managing 3+ person teams. 12. Communication and leadership experience, with experience initiating and driving projects. 13. Project management experience. 14. Data architecture experience. 15. Experience in SQL or similar languages. 16. Development experience in at least one object-oriented language (Python, Java, etc.). 17. BA/BS in Computer Science, Math, Physics, or other technical fields. **Preferred Qualifications:** Preferred Qualifications: 18. Experience in a consumer web or mobile company. 19. Experience with data sets, Hadoop, and data visualization tools. 20. Advanced degree **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta is seeking a forward thinking experienced Production Platform Engineering Manager to join the Data Center Site Operations team. The Production Platform Engineering (PPE) team is responsible for the overall performance of Meta's production compute, storage, and accelerator (GPU) platforms through their life-cycles in our data centers. This role will lead a subset of the overall PPE team. The role scope is focused on maintaining and improving the health of platforms from operational testing into mass production through end-of-life. Key responsibilities include identifying systemic hardware, firmware, and tooling issues; engaging in hands-on problem solving; and collaborating effectively with cross-functional engineering and tooling teams to improve performance of the fleet. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in an environment where adaptability and flexibility will be key to their success. We seek an individual who can quickly absorb and understand the technical challenges of subject matter experts and local site operations teams, create alignment between these globally distributed teams as well as partner organizations, and can set informed priorities and direction while getting buy-in and commitment from relevant stakeholders. **Required Skills:** SiteOps Global Production Platform Engineering Manager Responsibilities: 1. Manage other Production Platform Engineering (PPE) team members through efforts that provide end-to-end lifecycle leadership (operational test through end of life decommissioning) of platforms and associated new technologies in the data centers 2. Serve as the central point of contact representing hardware platforms and associated new technologies across Site Operations, and be the subject matter experts on hardware platform issues, for data center operations teams 3. Drive complex platform technical investigations globally and spanning multiple disciplines such as Hardware, Software/Firmware, Networking and Power & Cooling 4. Work closely with other PPE team members to share best practices and ensure appropriate feedback is given to cross-functional teams 5. Issue timely alerts and support fixes to operations teams, and assure a robust feedback pipeline to engineering teams 6. Provide serviceability feedback on production hardware to engineering design teams 7. Provide technical mentorship on large scale data center projects and initiatives to global, cross-functional teams 8. Build relationships and collaboration with engineering and cross functional teams across the company. Actively solicit feedback from teams, and use that feedback to improve operational effectiveness as infrastructure scales 9. Own the cross-functional communication with other technical operations groups to help resolve incidents 10. Collaborate with stakeholders, functional owners and subject matter experts to interpret and articulate business and operations needs 11. Travel up to 30% required **Minimum Qualifications:** Minimum Qualifications: 12. BS or BA in technical field (electrical, computer science, or mechanical engineering) or comparable experience 13. 10+ years experience in NPI (New Product Introduction) hardware development and/or validation, working with cross functional teams to deliver products to production 14. Experience working across a global organization and building partnerships with cross functional teams inside and outside of the organization 15. Experience troubleshooting and debugging hardware platforms 16. Experience in processing and analyzing large sets of data 17. Knowledge of server and storage platforms, principles, technologies, protocols, and standards 18. Experience with GPU and accelerator based platform hardware that operates in computing clusters 19. Experience managing multiple concurrent projects and managing tight timelines 20. Experience working within an interdisciplinary team of hardware and operations engineers 21. Experience working with Linux or UNIX Operating systems 22. Technical skills creating documentation for users of all levels 23. Experience mentoring others and leading technical teams **Preferred Qualifications:** Preferred Qualifications: 24. Direct experience managing others 25. Large-scale data center environment experience, including hardware deployments, system knowledge of Linux, Server Hardware, networking, network protocols, supply chain and Data Center automation 26. Bash, PHP, Python, or Perl scripting experience 27. Experience in data center system and process automation 28. Leadership presentation skills **Public Compensation:** $163,000/year to $225,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta is seeking a forward thinking experienced Production Platform Engineering Manager to join the Data Center Site Operations team. The Production Platform Engineering (PPE) team is responsible for the overall performance of Meta's production compute, storage, and accelerator (GPU) platforms through their life-cycles in our data centers. This role will lead a subset of the overall PPE team. The role scope is focused on maintaining and improving the health of platforms from operational testing into mass production through end-of-life. Key responsibilities include identifying systemic hardware, firmware, and tooling issues; engaging in hands-on problem solving; and collaborating effectively with cross-functional engineering and tooling teams to improve performance of the fleet. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in an environment where adaptability and flexibility will be key to their success. We seek an individual who can quickly absorb and understand the technical challenges of subject matter experts and local site operations teams, create alignment between these globally distributed teams as well as partner organizations, and can set informed priorities and direction while getting buy-in and commitment from relevant stakeholders.BS or BA in technical field (electrical, computer science, or mechanical engineering) or comparable experience 10+ years experience in NPI (New Product Introduction) hardware development and/or validation, working with cross functional teams to deliver products to production Experience working across a global organization and building partnerships with cross functional teams inside and outside of the organization Experience troubleshooting and debugging hardware platforms Experience in processing and analyzing large sets of data Knowledge of server and storage platforms, principles, technologies, protocols, and standards Experience with GPU and accelerator based platform hardware that operates in computing clusters Experience managing multiple concurrent projects and managing tight timelines Experience working within an interdisciplinary team of hardware and operations engineers Experience working with Linux or UNIX Operating systems Technical skills creating documentation for users of all levels Experience mentoring others and leading technical teams Direct experience managing others Large-scale data center environment experience, including hardware deployments, system knowledge of Linux, Server Hardware, networking, network protocols, supply chain and Data Center automation Bash, PHP, Python, or Perl scripting experience Experience in data center system and process automation Leadership presentation skills

Meta is seeking a forward thinking experienced Production Platform Engineering Manager to join the Data Center Site Operations team. The Production Platform Engineering (PPE) team is responsible for the overall performance of Meta's production compute, storage, and accelerator (GPU) platforms through their life-cycles in our data centers. This role will lead a subset of the overall PPE team. The role scope is focused on maintaining and improving the health of platforms from operational testing into mass production through end-of-life. Key responsibilities include identifying systemic hardware, firmware, and tooling issues; engaging in hands-on problem solving; and collaborating effectively with cross-functional engineering and tooling teams to improve performance of the fleet. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in an environment where adaptability and flexibility will be key to their success. We seek an individual who can quickly absorb and understand the technical challenges of subject matter experts and local site operations teams, create alignment between these globally distributed teams as well as partner organizations, and can set informed priorities and direction while getting buy-in and commitment from relevant stakeholders.BS or BA in technical field (electrical, computer science, or mechanical engineering) or comparable experience 10+ years experience in NPI (New Product Introduction) hardware development and/or validation, working with cross functional teams to deliver products to production Experience working across a global organization and building partnerships with cross functional teams inside and outside of the organization Experience troubleshooting and debugging hardware platforms Experience in processing and analyzing large sets of data Knowledge of server and storage platforms, principles, technologies, protocols, and standards Experience with GPU and accelerator based platform hardware that operates in computing clusters Experience managing multiple concurrent projects and managing tight timelines Experience working within an interdisciplinary team of hardware and operations engineers Experience working with Linux or UNIX Operating systems Technical skills creating documentation for users of all levels Experience mentoring others and leading technical teams Direct experience managing others Large-scale data center environment experience, including hardware deployments, system knowledge of Linux, Server Hardware, networking, network protocols, supply chain and Data Center automation Bash, PHP, Python, or Perl scripting experience Experience in data center system and process automation Leadership presentation skills

Meta is seeking a forward thinking experienced Production Platform Engineering Manager to join the Data Center Site Operations team. The Production Platform Engineering (PPE) team is responsible for the overall performance of Meta's production compute, storage, and accelerator (GPU) platforms through their life-cycles in our data centers. This role will lead a subset of the overall PPE team. The role scope is focused on maintaining and improving the health of platforms from operational testing into mass production through end-of-life. Key responsibilities include identifying systemic hardware, firmware, and tooling issues; engaging in hands-on problem solving; and collaborating effectively with cross-functional engineering and tooling teams to improve performance of the fleet. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in an environment where adaptability and flexibility will be key to their success. We seek an individual who can quickly absorb and understand the technical challenges of subject matter experts and local site operations teams, create alignment between these globally distributed teams as well as partner organizations, and can set informed priorities and direction while getting buy-in and commitment from relevant stakeholders. **Required Skills:** SiteOps Global Production Platform Engineering Manager Responsibilities: 1. Manage other Production Platform Engineering (PPE) team members through efforts that provide end-to-end lifecycle leadership (operational test through end of life decommissioning) of platforms and associated new technologies in the data centers 2. Serve as the central point of contact representing hardware platforms and associated new technologies across Site Operations, and be the subject matter experts on hardware platform issues, for data center operations teams 3. Drive complex platform technical investigations globally and spanning multiple disciplines such as Hardware, Software/Firmware, Networking and Power & Cooling 4. Work closely with other PPE team members to share best practices and ensure appropriate feedback is given to cross-functional teams 5. Issue timely alerts and support fixes to operations teams, and assure a robust feedback pipeline to engineering teams 6. Provide serviceability feedback on production hardware to engineering design teams 7. Provide technical mentorship on large scale data center projects and initiatives to global, cross-functional teams 8. Build relationships and collaboration with engineering and cross functional teams across the company. Actively solicit feedback from teams, and use that feedback to improve operational effectiveness as infrastructure scales 9. Own the cross-functional communication with other technical operations groups to help resolve incidents 10. Collaborate with stakeholders, functional owners and subject matter experts to interpret and articulate business and operations needs 11. Travel up to 30% required **Minimum Qualifications:** Minimum Qualifications: 12. BS or BA in technical field (electrical, computer science, or mechanical engineering) or comparable experience 13. 10+ years experience in NPI (New Product Introduction) hardware development and/or validation, working with cross functional teams to deliver products to production 14. Experience working across a global organization and building partnerships with cross functional teams inside and outside of the organization 15. Experience troubleshooting and debugging hardware platforms 16. Experience in processing and analyzing large sets of data 17. Knowledge of server and storage platforms, principles, technologies, protocols, and standards 18. Experience with GPU and accelerator based platform hardware that operates in computing clusters 19. Experience managing multiple concurrent projects and managing tight timelines 20. Experience working within an interdisciplinary team of hardware and operations engineers 21. Experience working with Linux or UNIX Operating systems 22. Technical skills creating documentation for users of all levels 23. Experience mentoring others and leading technical teams **Preferred Qualifications:** Preferred Qualifications: 24. Direct experience managing others 25. Large-scale data center environment experience, including hardware deployments, system knowledge of Linux, Server Hardware, networking, network protocols, supply chain and Data Center automation 26. Bash, PHP, Python, or Perl scripting experience 27. Experience in data center system and process automation 28. Leadership presentation skills **Public Compensation:** $163,000/year to $225,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**About Us** The _Oracle SaaS Engineering_ organization builds and operates the Oracle Fusion Cloud Applications service, a complete suite of enterprise SaaS applications with embedded AI that run on next-generation Oracle Cloud Infrastructure (OCI). Leading companies trust Oracle to run their critical business functions. Oracle SaaS services are available across 30+ OCI regions around the world and continuing to expand to more regions. **Responsibilities** **What You Will Do** The SaaS Continuity Engineering team is responsible for the design and build of the systems and services that enables Oracle to deliver industry-leading availability and performance objectives for Oracle's SaaS services. The team architects and develops high-availability and service continuity solutions across the entire stack - infrastructure, database, platform, and application services - and all the dependent components. The engineering innovations enable SaaS services to be available to customers without any disruptions even during large-scale incidents. We are building the next-gen service continuity solutions in a fast-pace and innovative environment and looking for a hands-on engineering leader who can lead design and development of solutions and services to operate Oracle Fusion Middleware and Applications at scale with maximum availability and performance. We are looking for a seasoned engineering leader to grow and lead a team that is building software and solutions for improving availability and resiliency for SaaS services. You will be providing leadership, vision and strategy needed for the delivery of these services. **We are looking for someone who has experience:** + Leading engineering teams that have delivered successful products and services. + Launching new cloud solutions and establishing operational excellence. + Setting the technical direction. + Building high performing geographically distributed engineering teams. + Coaching, mentoring and developing best talent. + Establishing and stimulating software development standards and processes along with best practices for the entire org + Developing strategic plans to accomplish technical as well as business objectives with leadership chain, team and customers **Required Qualification** + MS/BS in Computer Science, Engineering or related fields + 12+ years experience in a software engineering environment + 8+ years in leading engineering for large cloud platform services + Strong experience in Design and architecture of distributed systems in the cloud + Proven track record of architecting, developing and implementing products and features for hyperscale SaaS involving large number of Containers, storage systems, services and Databases + Driven large scale changes to drastically enhance application Integrations, SaaS abstractions, availability, reliability and scale + Experience in Developing Observability Pipelines + Excellent written and verbal communication skills + Experience in a collaborative, agile DevOps development environment **Preferred Qualifications** + Experience in leading teams that have delivered successful SaaS and PaaS products + Seasoned mentor who has overcome challenges and influenced technology direction of the product Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $120,300 to $291,900 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**

Application window is expected to close on 03/14/2024. However, the job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The successful applicant will be performing work on US Government classified environments, and therefore, must be a U.S. Person (i.e., U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee). This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil. Meet The Team Cisco Systems is offering an outstanding opportunity to be part of a small, innovative team with a low process, high throughput culture. The team is working on Security Cloud Control, which manages policy and configuration of Security Business Group's firewalls which is a billion-dollar organization. We are looking for an energetic Engineering Program Manager to contribute to all parts of our infrastructure stack. The SecOps Tech Leader will be responsible for day-to-day security operations including intrusion analysis, incident handling, incident response, malware analysis, vulnerability assessment, and penetration testing. Your Impact As an Engineering Program Manager at Cisco in the Security Business Group you'll be a part of the Engineering Program Management Office (PMO). You have deep program and project management experience and the ability to implement sophisticated initiatives successfully with high-value outcomes, partner engagement, alignment, change management, and communication. You have excellent collaboration, communication, writing skills, initiative, curiosity, and get excited about driving important work in partnership with leadership. You enjoy partnering with Senior Leaders. You love learning, tackling new responsibilities, and thrive in a fast-paced, team-based environment. * Develop and manage program-level plans, roadmaps, and project plans in collaboration with Product Managers and Engineering. * Achieve and maintain FedRAMP Moderate, High, and IL5 authorizations by driving control activities and supporting compliance-related tasks. * Ensure effective communication and transparency across business units and partners by providing updates, creating dashboards, and facilitating collaboration. * Oversee program execution by identifying workstreams, monitoring scope, schedule, and resources, and addressing risks and issues. * Design executive-level presentations and regular updates to communicate program status, achievements, and metrics to leadership. * Promote Agile adoption and implement program management standard processes to enhance project execution efficiency and effectiveness. Minimum Qualifications: * Experience leading a security product through FedRAMP and IL5 certification * 5+ years of experience in managing, leading and delivering projects at technology-based companies or within technical domains * Bachelor degree or equivalent experience Preferred Qualifications: * Certified in PMP or PgMP with experience in diverse project management methodologies * Experienced in managing FedRAMP and IL5 compliance and assessments * Strong communication skills with the ability to influence teams and engage executives * Experience in deploying Cyber Security products and understanding software release cycles * Proven ability to lead complex initiatives and resolve technical issues effectively * Skilled in using program management tools for efficient planning and reporting \#WeAreCisco \#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

**About Us** The _Oracle SaaS Engineering_ organization builds and operates the Oracle Fusion Cloud Applications service, a complete suite of enterprise SaaS applications with embedded AI that run on next-generation Oracle Cloud Infrastructure (OCI). Leading companies trust Oracle to run their critical business functions. Oracle SaaS services are available across 30+ OCI regions around the world and continuing to expand to more regions. **Responsibilities** **What You Will Do** The SaaS Continuity Engineering team is responsible for the design and build of the systems and services that enables Oracle to deliver industry-leading availability and performance objectives for Oracle's SaaS services. The team architects and develops high-availability and service continuity solutions across the entire stack - infrastructure, database, platform, and application services - and all the dependent components. The engineering innovations enable SaaS services to be available to customers without any disruptions even during large-scale incidents. We are building the next-gen service continuity solutions in a fast-pace and innovative environment and looking for a hands-on engineering leader who can lead design and development of solutions and services to operate Oracle Fusion Middleware and Applications at scale with maximum availability and performance. We are looking for a seasoned engineering leader to grow and lead a team that is building software and solutions for improving availability and resiliency for SaaS services. You will be providing leadership, vision and strategy needed for the delivery of these services. **We are looking for someone who has experience:** + Leading engineering teams that have delivered successful products and services. + Launching new cloud solutions and establishing operational excellence. + Setting the technical direction. + Building high performing geographically distributed engineering teams. + Coaching, mentoring and developing best talent. + Establishing and stimulating software development standards and processes along with best practices for the entire org + Developing strategic plans to accomplish technical as well as business objectives with leadership chain, team and customers **Required Qualification** + MS/BS in Computer Science, Engineering or related fields + 12+ years experience in a software engineering environment + 8+ years in leading engineering for large cloud platform services + Strong experience in Design and architecture of distributed systems in the cloud + Proven track record of architecting, developing and implementing products and features for hyperscale SaaS involving large number of Containers, storage systems, services and Databases + Driven large scale changes to drastically enhance application Integrations, SaaS abstractions, availability, reliability and scale + Experience in Developing Observability Pipelines + Excellent written and verbal communication skills + Experience in a collaborative, agile DevOps development environment **Preferred Qualifications** + Experience in leading teams that have delivered successful SaaS and PaaS products + Seasoned mentor who has overcome challenges and influenced technology direction of the product Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $120,300 to $291,900 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**

**About Us** The _Oracle SaaS Engineering_ organization builds and operates the Oracle Fusion Cloud Applications service, a complete suite of enterprise SaaS applications with embedded AI that run on next-generation Oracle Cloud Infrastructure (OCI). Leading companies trust Oracle to run their critical business functions. Oracle SaaS services are available across 30+ OCI regions around the world and continuing to expand to more regions. **Responsibilities** **What You Will Do** The SaaS Continuity Engineering team is responsible for the design and build of the systems and services that enables Oracle to deliver industry-leading availability and performance objectives for Oracle's SaaS services. The team architects and develops high-availability and service continuity solutions across the entire stack - infrastructure, database, platform, and application services - and all the dependent components. The engineering innovations enable SaaS services to be available to customers without any disruptions even during large-scale incidents. We are building the next-gen service continuity solutions in a fast-pace and innovative environment and looking for a hands-on engineering leader who can lead design and development of solutions and services to operate Oracle Fusion Middleware and Applications at scale with maximum availability and performance. We are looking for a seasoned engineering leader to grow and lead a team that is building software and solutions for improving availability and resiliency for SaaS services. You will be providing leadership, vision and strategy needed for the delivery of these services. **We are looking for someone who has experience:** + Leading engineering teams that have delivered successful products and services. + Launching new cloud solutions and establishing operational excellence. + Setting the technical direction. + Building high performing geographically distributed engineering teams. + Coaching, mentoring and developing best talent. + Establishing and stimulating software development standards and processes along with best practices for the entire org + Developing strategic plans to accomplish technical as well as business objectives with leadership chain, team and customers **Required Qualification** + MS/BS in Computer Science, Engineering or related fields + 12+ years experience in a software engineering environment + 8+ years in leading engineering for large cloud platform services + Strong experience in Design and architecture of distributed systems in the cloud + Proven track record of architecting, developing and implementing products and features for hyperscale SaaS involving large number of Containers, storage systems, services and Databases + Driven large scale changes to drastically enhance application Integrations, SaaS abstractions, availability, reliability and scale + Experience in Developing Observability Pipelines + Excellent written and verbal communication skills + Experience in a collaborative, agile DevOps development environment **Preferred Qualifications** + Experience in leading teams that have delivered successful SaaS and PaaS products + Seasoned mentor who has overcome challenges and influenced technology direction of the product Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $120,300 to $291,900 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**

**About Us** The _Oracle SaaS Engineering_ organization builds and operates the Oracle Fusion Cloud Applications service, a complete suite of enterprise SaaS applications with embedded AI that run on next-generation Oracle Cloud Infrastructure (OCI). Leading companies trust Oracle to run their critical business functions. Oracle SaaS services are available across 30+ OCI regions around the world and continuing to expand to more regions. **Responsibilities** **What You Will Do** The SaaS Continuity Engineering team is responsible for the design and build of the systems and services that enables Oracle to deliver industry-leading availability and performance objectives for Oracle's SaaS services. The team architects and develops high-availability and service continuity solutions across the entire stack - infrastructure, database, platform, and application services - and all the dependent components. The engineering innovations enable SaaS services to be available to customers without any disruptions even during large-scale incidents. We are building the next-gen service continuity solutions in a fast-pace and innovative environment and looking for a hands-on engineering leader who can lead design and development of solutions and services to operate Oracle Fusion Middleware and Applications at scale with maximum availability and performance. We are looking for a seasoned engineering leader to grow and lead a team that is building software and solutions for improving availability and resiliency for SaaS services. You will be providing leadership, vision and strategy needed for the delivery of these services. **We are looking for someone who has experience:** + Leading engineering teams that have delivered successful products and services. + Launching new cloud solutions and establishing operational excellence. + Setting the technical direction. + Building high performing geographically distributed engineering teams. + Coaching, mentoring and developing best talent. + Establishing and stimulating software development standards and processes along with best practices for the entire org + Developing strategic plans to accomplish technical as well as business objectives with leadership chain, team and customers **Required Qualification** + MS/BS in Computer Science, Engineering or related fields + 12+ years experience in a software engineering environment + 8+ years in leading engineering for large cloud platform services + Strong experience in Design and architecture of distributed systems in the cloud + Proven track record of architecting, developing and implementing products and features for hyperscale SaaS involving large number of Containers, storage systems, services and Databases + Driven large scale changes to drastically enhance application Integrations, SaaS abstractions, availability, reliability and scale + Experience in Developing Observability Pipelines + Excellent written and verbal communication skills + Experience in a collaborative, agile DevOps development environment **Preferred Qualifications** + Experience in leading teams that have delivered successful SaaS and PaaS products + Seasoned mentor who has overcome challenges and influenced technology direction of the product Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $120,300 to $291,900 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**