Principal Engineer jobs at Verizon Communications - 60 jobs

REMOTE TYPE: Office Worker: In office position with work from home allowed, i.e. flex or hybrid worker Use Big Data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications. Analyze, design, program, debug and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions. Interact with data scientists and industry experts to understand how data needs to be converted, loaded and presented. Work in a highly agile environment. Interact with the Product Team to gather requirements, particularly for 5G technology-based features. Research latest 5G standard analysis possible impact/optimization on data collection. Conduct initial research to understand the scope of features and finalize timelines. Leverage expertise in 5G Technology and 3GPP standards to conduct detailed research. Develop High-Level Design (HLD) for Device Software, including metrics design and Package Collection Model. Provide HLD to the Mobile Engineering Team for review and reference for implementation. Assist the Product Qualifications team in drafting various control test case scenarios. Interact with external wireless testing vendors and help triage any issues during device software testing. Maintain the quality of software post-deployment in the production environment. Develop High-Level Design for KPI definitions and impact analysis. Review designs with the Analytics team and assist in issue triaging during software development. Collaborate with the Data Analytics team to prepare Summary Reports and Dashboards. Collaborate with Product, Project Management, Mobile Engineering, Product Qualifications, Analytics, and Production engineering teams to deliver BU feature. REQUIREMENTS: Requires a Master's degree, or foreign equivalent degree in Electrical Engineering, Computer Science or Electronic Engineering and five (5) years of experience in the job offered or five (5)years of experience in a related occupation delivering 5G Technology solutions; practiced in 3GPP standard; advanced understanding of 5G system from end to end; hands-on experience with 5G protocols (NAS, RRC, MAC) and network architecture (RAN, AMF, SMF); analyzing and interpreting the last 3GPP technical documents. Our Principal Data/AI Engineering roles earn between $182,700 - $237,400 yearly. Not to mention all the other amazing rewards that working at AT&T offers. Joining our team comes with amazing perks and benefits: · Medical/Dental/Vision coverage · 401(k) plan · Tuition reimbursement program · Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) · Paid Parental Leave · Paid Caregiver Leave · Additional sick leave beyond what state and local law require may be available but is unprotected · Adoption Reimbursement · Disability Benefits (short term and long term) · Life and Accidental Death Insurance · Supplemental benefit programs: critical illness/accident hospital indemnity/group legal · Employee Assistance Programs (EAP) · Extensive employee wellness programs · Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Plano, Texas It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

_REMOTE TYPE: Office Worker: In office position with work from home allowed, i.e. flex or hybrid worker_ _DUTIES:_ Use Big Data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications. Analyze, design, program, debug and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions. Interact with data scientists and industry experts to understand how data needs to be converted, loaded and presented. Work in a highly agile environment. Interact with the Product Team to gather requirements, particularly for 5G technology-based features. Research latest 5G standard analysis possible impact/optimization on data collection. Conduct initial research to understand the scope of features and finalize timelines. Leverage expertise in 5G Technology and 3GPP standards to conduct detailed research. Develop High-Level Design (HLD) for Device Software, including metrics design and Package Collection Model. Provide HLD to the Mobile Engineering Team for review and reference for implementation. Assist the Product Qualifications team in drafting various control test case scenarios. Interact with external wireless testing vendors and help triage any issues during device software testing. Maintain the quality of software post-deployment in the production environment. Develop High-Level Design for KPI definitions and impact analysis. Review designs with the Analytics team and assist in issue triaging during software development. Collaborate with the Data Analytics team to prepare Summary Reports and Dashboards. Collaborate with Product, Project Management, Mobile Engineering, Product Qualifications, Analytics, and Production engineering teams to deliver BU feature. _REQUIREMENTS:_ Requires a Master's degree, or foreign equivalent degree in Electrical Engineering, Computer Science or Electronic Engineering and five (5) years of experience in the job offered or five (5)years of experience in a related occupation delivering 5G Technology solutions; practiced in 3GPP standard; advanced understanding of 5G system from end to end; hands-on experience with 5G protocols (NAS, RRC, MAC) and network architecture (RAN, AMF, SMF); analyzing and interpreting the last 3GPP technical documents. Our Principal Data/AI Engineering roles earn between $182,700 - $237,400 yearly. Not to mention all the other amazing rewards that working at AT&T offers. Joining our team comes with amazing perks and benefits: · Medical/Dental/Vision coverage · 401(k) plan · Tuition reimbursement program · Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) · Paid Parental Leave · Paid Caregiver Leave · Additional sick leave beyond what state and local law require may be available but is unprotected · Adoption Reimbursement · Disability Benefits (short term and long term) · Life and Accidental Death Insurance · Supplemental benefit programs: critical illness/accident hospital indemnity/group legal · Employee Assistance Programs (EAP) · Extensive employee wellness programs · Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone **Weekly Hours:** 40 **Time Type:** Regular **Location:** Plano, Texas It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

Apply share * link Copy link * email Email a friend info_outline XThe application window will be open until at least January 19, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Austin, TX, USA; Boulder, CO, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. Minimum qualifications: * Bachelor's degree in Computer Science or equivalent practical experience. * 8 years of experience automating infrastructure provisioning, DevOps, continuous integration, or delivery. * Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. * Experience designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: * Experience with Google Workspace Admin Console managing users, services, and security settings. * Understanding of security protocols, data privacy, and how to maintain the security of the Google Workspace domain. * Familiarity with general cloud computing concepts and the Google Cloud ecosystem. * Ability to provision, manage, and secure user access, create and manage groups, and configure Organizational Units (OUs). * Excellent skills in controlling and configuring core Google Workspace services like Gmail, Drive, and Calendar. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Principal Workspace Strategic Cloud Engineer, you will provide exceptional technical guidance to customers adopting Google Workspace (GWS) and Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GWS and GCP can offer and have the best experience in migrating collaboration services to GWS and building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with product management and product engineering to drive excellence in Google Cloud products and features. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Lead deployment planning workshops to scope customer migrations to GWS, including capabilities, timelines and risks. * Develop technical architecture to document integrations specific to customer environments. * Conduct super administrator functions to configure and troubleshoot customer implementations, including networking, identity, security, integrations, etc. * Project and capture new customer feature requests unique to US Public Sector and interact with GWS product and engineering teams to scope delivery. * Provide subject matter expertise for GWS pre-sales and delivery projects for high priority customer engagements.

_corporate_fare_ Google _place_ Reston, VA, USA; Austin, TX, USA; +4 more; +3 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XThe application window will be open until at least January 19, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Reston, VA, USA; Austin, TX, USA; Boulder, CO, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science or equivalent practical experience. + 8 years of experience automating infrastructure provisioning, DevOps, continuous integration, or delivery. + Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. + Experience designing cloud enterprise solutions and supporting customer projects to completion. **Preferred qualifications:** + Experience with Google Workspace Admin Console managing users, services, and security settings. + Understanding of security protocols, data privacy, and how to maintain the security of the Google Workspace domain. + Familiarity with general cloud computing concepts and the Google Cloud ecosystem. + Ability to provision, manage, and secure user access, create and manage groups, and configure Organizational Units (OUs). + Excellent skills in controlling and configuring core Google Workspace services like Gmail, Drive, and Calendar. **About the job** The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Principal Workspace Strategic Cloud Engineer, you will provide exceptional technical guidance to customers adopting Google Workspace (GWS) and Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GWS and GCP can offer and have the best experience in migrating collaboration services to GWS and building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with product management and product engineering to drive excellence in Google Cloud products and features. Google Public Sector (************************************************************ brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead deployment planning workshops to scope customer migrations to GWS, including capabilities, timelines and risks. + Develop technical architecture to document integrations specific to customer environments. + Conduct super administrator functions to configure and troubleshoot customer implementations, including networking, identity, security, integrations, etc. + Project and capture new customer feature requests unique to US Public Sector and interact with GWS product and engineering teams to scope delivery. + Provide subject matter expertise for GWS pre-sales and delivery projects for high priority customer engagements. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. AT&T will not hire any applicants for this position who require employer sponsorship now or in the future. Join AT&T and reimagine the communications and technologies that connect the world. The Chief Information Office is responsible for advancing information technology performance and delivering solutions with a focus on maximizing ROI, increasing efficiency and enhancing the experience of end users. Guided by experienced leaders, Corporate Systems seamlessly integrate with advanced Technology and Operations to drive our enterprise forward. Our Systems Reliability and Software Delivery teams are unwavering in their commitment to excellence, ensuring every solution is robust and efficient. When you step into a career with AT&T, you won't just imagine the future-you'll create it. What you'll do: Design and deliver enterprise-grade solutions for Release and Change Management within IT Service Management. Drive automation, data driven and AI enabled integration, and process optimization to enhance resilience, accelerate delivery, and ensure service reliability. Focus on transitioning from fragmented, application-specific practices to mature enterprise models by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM processes. * Architecture & Design: Build scalable, high-availability systems for standardized RM/CM processes. Integrate automation, AI, and data analytics for efficiency and consistency. * Agile & DevOps Enablement: Embed SAFe, Agile, DevOps, and CI/CD principles. Optimize pipelines for rapid, secure deployments. * Data and AI-Enabled Release Management Strategy: Transition from fragmented, app-driven practices to a mature enterprise model by embedding data and AI-powered capabilities across solution areas-predictive analytics, automated risk assessment, and intelligent change validation. * Requirements & Integration: Translate business needs into technical specifications. Ensure seamless integration with ITSM platforms, cloud services, and infrastructure. * Sprint-Based Delivery: Use iterative sprint approach to develop standardized policies and tools, pilot quickly, and scale across the enterprise. * Technical Leadership: Guide cross-functional teams, foster innovation, and align solutions with business objectives. * Performance & Reliability: Analyze system performance, troubleshoot proactively, and minimize incidents. Benchmark metrics. Building Dashboard for tracking progress and metrics. * Governance & Compliance: Standardize RM/CM processes with secure, auditable, and repeatable patterns. * Continuous Improvement: Use post-release analytics to refine processes and adopt emerging trends. * Documentation & Training: Maintain clear documentation and deliver training on AI-enabled RM/CM strategy to enterprise partners. * Mentoring; Drives Culture of Continuous Improvement What you'll need: * Expert level Knowledge of SDLC for SAFe Agile and DevOps environments; best-in-class Release and Change Management framework and IT Service Management. * Data and AI Skillset: Advanced Data analytics, KPI metrics, and Prompt Engineering expertise; Guiding development of Agentic AI workflows and Gen AI use cases; Power BI, Python * Governance and Communication: Establishing process framework, Implementing solutions and tools, Building standardized playbooks, and leading governance boards for ATS-wide implementation What you'll bring: Required * 7+ years in Systems Engineering, ITSM, RM/CM * Expertise in SAFe, Agile, DevOps, CI/CD, Data Analytics, building Gen AI use cases * Experience with AI technologies, Python, SQL, data analytics, Power BI and ITSM tools (e.g., ServiceNow) * Modern Enterprise Release Management/Change Management and ITSM * Advanced expertise in Excel, PowerPoint, PowerBI Preferred * BS/BA in Computer Science * Preferred Tools (Modern Release Management processes for Agile and DevOps environments) * Jira Align, JSM, Jira Cloud, Git for enterprise RM/CM * Relevant certifications (SAFe, Agile, DevOps, AI/ML) Our Principal System Engineering, earns between $141,300-$237,400 USD Annual, Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Joining our team comes with amazing perks and benefits: * Medical/Dental/Vision coverage * 401(k) plan * Tuition reimbursement program * Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) * Paid Parental Leave * Paid Caregiver Leave * Additional sick leave beyond what state and local law require may be available but is unprotected * Adoption Reimbursement * Disability Benefits (short term and long term) * Life and Accidental Death Insurance * Supplemental benefit programs: critical illness/accident hospital indemnity/group legal * Employee Assistance Programs (EAP) * Extensive employee wellness programs * Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, * AT&T internet (and fiber where available) and AT&T phone. #LI-Onsite - Full-time office role- Ready to join our team? Apply today. Weekly Hours: 40 Time Type: Regular Location: USA:TX:Dallas / Three AT&T Plaza (308 S Akard St) - Co:308 S Akard St Salary Range: $141,300.00 - $237,400.00 It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Job ID R-91157-5 Date posted 01/07/2026 Apply now Save role

JOB TITLE: Lead Software Engineering DUTIES: Participate in the technical design and development of cross-functional, multi-platform application systems. Work with other engineers, architects, product managers, and business stakeholders to identify the technical and functional needs of systems based on priority. Write quality code utilizing automated testing and validation. Enforce company policies related to development methodology, architecture, security, change and configuration management, and compliance. Perform complex engineering activities for performance tuning, monitoring, deployment, and production support. Implement, maintain and update CI/CD pipelines. Build web applications using Java, Spring, and Rest. Work with cloud technologies including AWS, AZURE, OpenStack, Docker, Kubernetes, Ansible, Chef, and Terraform. Build CI/CD technologies including Github, Maven, Jenkins, Nexus and Sonar. Perform in-unit testing and function testing using JUnit, Spock, Mockito, JMock, Jest, Mocha, Selenium, Cucumber, SoapUI, and Postman. Work with asynchronous message processing, stream processing, and event-driven computing. Spearhead the transition and modernization efforts of application software across a dynamic technology landscape. Engage in the full spectrum of software development life cycle (SDLC) processes for solutions deployed in both on-premise and cloud-based settings. Play a pivotal role in establishing a framework for regular monitoring and reporting on application performance and health to portfolio managers and key stakeholders. REQUIREMENTS: Requires a Bachelor's degree, or foreign equivalent degree, in Computer Engineering, Computer Science, or Biotechnology and 5 years of progressive, post-baccalaureate experience in the job offered, or 5 years of progressive, post-baccalaureate experience in a related occupation writing quality code utilizing automated testing and validation; performing complex engineering activities for performance tuning, monitoring, deployment, and production support; building web applications using Java, Spring, and Rest; working with cloud technologies including AWS, AZURE, OpenStack, Docker, Kubernetes, Ansible, Chef, and Terraform; building CI/CD technologies including GitHub, Maven, Jenkins, Nexus and Sonar; performing inunit testing and function testing using JUnit, Spock, Mockito, JMock, Jest, Mocha, Selenium, Cucumber, SoapUI, and Postman; and working with asynchronous message processing, stream processing, and event-driven computing. Our Lead Software Engineering earn between $166,155 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers. Joining our team comes with amazing perks and benefits: * Medical/Dental/Vision coverage * 401(k) plan * Tuition reimbursement program * Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) * Paid Parental Leave * Paid Caregiver Leave * Additional sick leave beyond what state and local law require may be available but is unprotected * Adoption Reimbursement * Disability Benefits (short term and long term) * Life and Accidental Death Insurance * Supplemental benefit programs: critical illness/accident hospital indemnity/group legal * Employee Assistance Programs (EAP) * Extensive employee wellness programs * Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Plano, Texas It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Job ID R-93612 Date posted 01/08/2026 Apply now Save role

JOB TITLE: Lead Software Engineering DUTIES: Participate in the technical design and development of cross-functional, multi-platform application systems. Work with other engineers, architects, product managers, and business stakeholders to identify the technical and functional needs of systems based on priority. Write quality code utilizing automated testing and validation. Enforce company policies related to development methodology, architecture, security, change and configuration management, and compliance. Perform complex engineering activities for performance tuning, monitoring, deployment, and production support. Implement, maintain and update CI/CD pipelines. Build web applications using Java, Spring, and Rest. Work with cloud technologies including AWS, AZURE, OpenStack, Docker, Kubernetes, Ansible, Chef, and Terraform. Build CI/CD technologies including Github, Maven, Jenkins, Nexus and Sonar. Perform in-unit testing and function testing using JUnit, Spock, Mockito, JMock, Jest, Mocha, Selenium, Cucumber, SoapUI, and Postman. Work with asynchronous message processing, stream processing, and event-driven computing. Spearhead the transition and modernization efforts of application software across a dynamic technology landscape. Engage in the full spectrum of software development life cycle (SDLC) processes for solutions deployed in both on-premise and cloud-based settings. Play a pivotal role in establishing a framework for regular monitoring and reporting on application performance and health to portfolio managers and key stakeholders. REQUIREMENTS: Requires a Bachelor's degree, or foreign equivalent degree, in Computer Engineering, Computer Science, or Biotechnology and 5 years of progressive, post-baccalaureate experience in the job offered, or 5 years of progressive, post-baccalaureate experience in a related occupation writing quality code utilizing automated testing and validation; performing complex engineering activities for performance tuning, monitoring, deployment, and production support; building web applications using Java, Spring, and Rest; working with cloud technologies including AWS, AZURE, OpenStack, Docker, Kubernetes, Ansible, Chef, and Terraform; building CI/CD technologies including GitHub, Maven, Jenkins, Nexus and Sonar; performing inunit testing and function testing using JUnit, Spock, Mockito, JMock, Jest, Mocha, Selenium, Cucumber, SoapUI, and Postman; and working with asynchronous message processing, stream processing, and event-driven computing. Our Lead Software Engineering earn between $166,155 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers. Joining our team comes with amazing perks and benefits: · Medical/Dental/Vision coverage · 401(k) plan · Tuition reimbursement program · Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) · Paid Parental Leave · Paid Caregiver Leave · Additional sick leave beyond what state and local law require may be available but is unprotected · Adoption Reimbursement · Disability Benefits (short term and long term) · Life and Accidental Death Insurance · Supplemental benefit programs: critical illness/accident hospital indemnity/group legal · Employee Assistance Programs (EAP) · Extensive employee wellness programs · Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Plano, Texas It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. AT&T will not hire any applicants for this position who require employer sponsorship now or in the future. Join AT&T and reimagine the communications and technologies that connect the world. The Chief Information Office is responsible for advancing information technology performance and delivering solutions with a focus on maximizing ROI, increasing efficiency and enhancing the experience of end users. Guided by experienced leaders, Corporate Systems seamlessly integrate with advanced Technology and Operations to drive our enterprise forward. Our Systems Reliability and Software Delivery teams are unwavering in their commitment to excellence, ensuring every solution is robust and efficient. When you step into a career with AT&T, you won't just imagine the future-you'll create it. What you'll do: Design and deliver enterprise-grade solutions for Release and Change Management within IT Service Management. Drive automation, data driven and AI enabled integration, and process optimization to enhance resilience, accelerate delivery, and ensure service reliability. Focus on transitioning from fragmented, application-specific practices to mature enterprise models by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM processes. * Architecture & Design: Build scalable, high-availability systems for standardized RM/CM processes. Integrate automation, AI, and data analytics for efficiency and consistency. * Agile & DevOps Enablement: Embed SAFe, Agile, DevOps, and CI/CD principles. Optimize pipelines for rapid, secure deployments. * Data and AI-Enabled Release Management Strategy: Transition from fragmented, app-driven practices to a mature enterprise model by embedding data and AI-powered capabilities across solution areas-predictive analytics, automated risk assessment, and intelligent change validation. * Requirements & Integration: Translate business needs into technical specifications. Ensure seamless integration with ITSM platforms, cloud services, and infrastructure. * Sprint-Based Delivery: Use iterative sprint approach to develop standardized policies and tools, pilot quickly, and scale across the enterprise. * Technical Leadership: Guide cross-functional teams, foster innovation, and align solutions with business objectives. * Performance & Reliability: Analyze system performance, troubleshoot proactively, and minimize incidents. Benchmark metrics. Building Dashboard for tracking progress and metrics. * Governance & Compliance: Standardize RM/CM processes with secure, auditable, and repeatable patterns. * Continuous Improvement: Use post-release analytics to refine processes and adopt emerging trends. * Documentation & Training: Maintain clear documentation and deliver training on AI-enabled RM/CM strategy to enterprise partners. * Mentoring; Drives Culture of Continuous Improvement What you'll need: * Expert level Knowledge of SDLC for SAFe Agile and DevOps environments; best-in-class Release and Change Management framework and IT Service Management. * Data and AI Skillset: Advanced Data analytics, KPI metrics, and Prompt Engineering expertise; Guiding development of Agentic AI workflows and Gen AI use cases; Power BI, Python * Governance and Communication: Establishing process framework, Implementing solutions and tools, Building standardized playbooks, and leading governance boards for ATS-wide implementation What you'll bring: Required * 7+ years in Systems Engineering, ITSM, RM/CM * Expertise in SAFe, Agile, DevOps, CI/CD, Data Analytics, building Gen AI use cases * Experience with AI technologies, Python, SQL, data analytics, Power BI and ITSM tools (e.g., ServiceNow) * Modern Enterprise Release Management/Change Management and ITSM * Advanced expertise in Excel, PowerPoint, PowerBI Preferred * BS/BA in Computer Science * Preferred Tools (Modern Release Management processes for Agile and DevOps environments) * Jira Align, JSM, Jira Cloud, Git for enterprise RM/CM * Relevant certifications (SAFe, Agile, DevOps, AI/ML) Our Principal System Engineering, earns between $141,300-$237,400 USD Annual, Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Joining our team comes with amazing perks and benefits: * Medical/Dental/Vision coverage * 401(k) plan * Tuition reimbursement program * Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) * Paid Parental Leave * Paid Caregiver Leave * Additional sick leave beyond what state and local law require may be available but is unprotected * Adoption Reimbursement * Disability Benefits (short term and long term) * Life and Accidental Death Insurance * Supplemental benefit programs: critical illness/accident hospital indemnity/group legal * Employee Assistance Programs (EAP) * Extensive employee wellness programs * Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, * AT&T internet (and fiber where available) and AT&T phone. #LI-Onsite - Full-time office role- Ready to join our team? Apply today. Weekly Hours: 40 Time Type: Regular Location: USA:TX:Dallas / Three AT&T Plaza (308 S Akard St) - Co:308 S Akard St Salary Range: $141,300.00 - $237,400.00 It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Job ID R-91157 Date posted 01/07/2026 Apply now Save role

**This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.** **AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.** Join AT&T and reimagine the communications and technologies that connect the world. The Chief Information Office is responsible for advancing information technology performance and delivering solutions with a focus on maximizing ROI, increasing efficiency and enhancing the experience of end users. Guided by experienced leaders, Corporate Systems seamlessly integrate with advanced Technology and Operations to drive our enterprise forward. Our Systems Reliability and Software Delivery teams are unwavering in their commitment to excellence, ensuring every solution is robust and efficient. When you step into a career with AT&T, you won't just imagine the future-you'll create it. **What you'll do:** Design and deliver enterprise-grade solutions for Release and Change Management within IT Service Management. Drive automation, data driven and AI enabled integration, and process optimization to enhance resilience, accelerate delivery, and ensure service reliability. Focus on transitioning from fragmented, application-specific practices to mature enterprise models by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM processes. + **Architecture & Design:** Build scalable, high-availability systems for standardized RM/CM processes. Integrate automation, AI, and data analytics for efficiency and consistency. + **Agile & DevOps Enablement:** Embed SAFe, Agile, DevOps, and CI/CD principles. Optimize pipelines for rapid, secure deployments. + **Data and AI-Enabled Release Management Strategy:** Transition from fragmented, app-driven practices to a mature enterprise model by embedding data and AI-powered capabilities across solution areas-predictive analytics, automated risk assessment, and intelligent change validation. + **Requirements & Integration:** Translate business needs into technical specifications. Ensure seamless integration with ITSM platforms, cloud services, and infrastructure. + **Sprint-Based Delivery:** Use iterative sprint approach to develop standardized policies and tools, pilot quickly, and scale across the enterprise. + **Technical Leadership:** Guide cross-functional teams, foster innovation, and align solutions with business objectives. + **Performance & Reliability:** Analyze system performance, troubleshoot proactively, and minimize incidents. Benchmark metrics. Building Dashboard for tracking progress and metrics. + **Governance & Compliance:** Standardize RM/CM processes with secure, auditable, and repeatable patterns. + **Continuous Improvement:** Use post-release analytics to refine processes and adopt emerging trends. + **Documentation & Training:** Maintain clear documentation and deliver training on AI-enabled RM/CM strategy to enterprise partners. + **Mentoring; Drives Culture of Continuous Improvement** **What you'll need:** + Expert level Knowledge of SDLC for SAFe Agile and DevOps environments; best-in-class Release and Change Management framework and IT Service Management. + Data and AI Skillset: Advanced Data analytics, KPI metrics, and Prompt Engineering expertise; Guiding development of Agentic AI workflows and Gen AI use cases; Power BI, Python + Governance and Communication: Establishing process framework, Implementing solutions and tools, Building standardized playbooks, and leading governance boards for ATS-wide implementation **What you'll bring:** **Required** + 7+ years in Systems Engineering, ITSM, RM/CM + Expertise in SAFe, Agile, DevOps, CI/CD, Data Analytics, building Gen AI use cases + Experience with AI technologies, Python, SQL, data analytics, Power BI and ITSM tools (e.g., ServiceNow) + Modern Enterprise Release Management/Change Management and ITSM + Advanced expertise in Excel, PowerPoint, PowerBI **Preferred** + BS/BA in Computer Science + Preferred Tools (Modern Release Management processes for Agile and DevOps environments) + Jira Align, JSM, Jira Cloud, Git for enterprise RM/CM + Relevant certifications (SAFe, Agile, DevOps, AI/ML) Our Principal System Engineering, earns between $141,300-$237,400 USD Annual, Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. **Joining our team comes with amazing perks and benefits:** + Medical/Dental/Vision coverage + 401(k) plan + Tuition reimbursement program + Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) + Paid Parental Leave + Paid Caregiver Leave + Additional sick leave beyond what state and local law require may be available but is unprotected + Adoption Reimbursement + Disability Benefits (short term and long term) + Life and Accidental Death Insurance + Supplemental benefit programs: critical illness/accident hospital indemnity/group legal + Employee Assistance Programs (EAP) + Extensive employee wellness programs + Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, + AT&T internet (and fiber where available) and AT&T phone. \#LI-Onsite - Full-time office role- Ready to join our team? Apply today. **Weekly Hours:** 40 **Time Type:** Regular **Location:** USA:TX:Dallas / Three AT&T Plaza (308 S Akard St) - Co:308 S Akard St **Salary Range:** $141,300.00 - $237,400.00 It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree in Electrical, Mechanical, Industrial, Materials, a related engineering field or equivalent practical experience. * 8 years of experience in manufacturing. Preferred qualifications: * Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field. * Experience setting up manufacturing assembly processes, managing product launches and assembly process optimization within manufacturing operations. * Experience in technical leadership, project management, and executive communication. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a System Hardware Reliability Engineer, TPU systems. You will work closely with an integrated engineering team to reduce the risk of system hardware failure at customer data center sites. You will support hardware quality and reliability needs to ensure the best possible hardware performance and customer experience. You will be a hardware reliability expert to quantify and monitor the system repair trends. You will be an expert in statistical analysis and reliability statistics such as Homogeneous and Non-Homogeneous Poisson Process, Mean Cumulative Function, and degradation analysis among others. You will leverage your experience in failure analysis of hardware systems, particularly relating to solder joint reliability, Printed Circuit Board Assembly (PCBA), and thermal interface among others. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $138,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Lead system hardware reliability efforts by working with partner organizations in identifying potential failure-inducing factors for our TPU systems at customer data centers. * Define a plan to manage the system hardware reliability needs for TPU system deployments at customer data centers, including managing early installation issues, monitoring and improving times to repair, monitoring delivered system hardware availability under customer workloads, monitoring random failure events, and early detection and actioning of wearout or unexpected system failure trends. * Extract system field reliability data and, using investigative skills and reliability principles, obtain information needed to drive failure analysis efforts, identification of root causes of failure, and creation of actionable insights to improve customer experience. * Manage efforts with external partners, testing labs, failure analysis labs, and cross-functional internal groups, while developing in-house test and qualification capabilities where needed.

_corporate_fare_ Google _place_ Austin, TX, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree in Electrical, Mechanical, Industrial, Materials, a related engineering field or equivalent practical experience. + 8 years of experience in manufacturing. **Preferred qualifications:** + Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field. + Experience setting up manufacturing assembly processes, managing product launches and assembly process optimization within manufacturing operations. + Experience in technical leadership, project management, and executive communication. **About the job** Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a System Hardware Reliability Engineer, TPU systems. You will work closely with an integrated engineering team to reduce the risk of system hardware failure at customer data center sites. You will support hardware quality and reliability needs to ensure the best possible hardware performance and customer experience. You will be a hardware reliability expert to quantify and monitor the system repair trends. You will be an expert in statistical analysis and reliability statistics such as Homogeneous and Non-Homogeneous Poisson Process, Mean Cumulative Function, and degradation analysis among others. You will leverage your experience in failure analysis of hardware systems, particularly relating to solder joint reliability, Printed Circuit Board Assembly (PCBA), and thermal interface among others. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $138,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead system hardware reliability efforts by working with partner organizations in identifying potential failure-inducing factors for our TPU systems at customer data centers. + Define a plan to manage the system hardware reliability needs for TPU system deployments at customer data centers, including managing early installation issues, monitoring and improving times to repair, monitoring delivered system hardware availability under customer workloads, monitoring random failure events, and early detection and actioning of wearout or unexpected system failure trends. + Extract system field reliability data and, using investigative skills and reliability principles, obtain information needed to drive failure analysis efforts, identification of root causes of failure, and creation of actionable insights to improve customer experience. + Manage efforts with external partners, testing labs, failure analysis labs, and cross-functional internal groups, while developing in-house test and qualification capabilities where needed. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Kirkland, WA, USA; Reston, VA, USA; Reno, NV, USA; San Francisco, CA, USA; Sunnyvale, CA, USA. Minimum qualifications: Bachelor's degree in Mechanical or Industrial Engineering, a related discipline, or equivalent practical experience. 10 years of experience in mission critical facility design and construction environments. 8 years of experience in custom mechanical equipment design, with experience in data center server hall infrastructure cooling components and adiabatic cooling systems. 8 years of experience in thermal analysis and the optimization of data center cooling systems, including experience with water and energy calculations. 8 years of experience with analytical and modeling tools such as 6Sigma, AFT Fathom, Python, and Sheets for system analysis and design. Preferred qualifications: Master's degree in Mechanical Engineering or a Professional Engineering (PE) license. Experience with engineering team management. Experience in applying data center technologies. Proficiency with SQL, C++, and Pipe Stress Analysis. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Google is transforming how hyperscale data centers are planned, designed, and built - from custom, stick-built, multi-year construction monoliths to productized, manufactured, modular, just-in-time deployments of fungible capacity. In this role, you will develop liquid cooling solutions for our advanced accelerator roadmap. You will play a crucial role in driving the thermal performance and efficiency of our high-power computing systems. You'll work in a dynamic environment, collaborating with cross-functional teams to design, analyze, and optimize chip-to-chiller cooling systems. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $171,000-$254,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Evaluate, design, and optimize liquid cooling components (e.g., cold plates, manifolds, heat exchangers, fancoils) and their seamless integration into accelerator designs, leveraging expertise in silicon packaging architectures. Conduct detailed Computational Fluid Dynamics (CFD) and pipe flow analysis (e.g., Applied Flow Technology (AFT) Fathom) for fluid flow, heat transfer, and pressure drop, optimizing designs for maximum thermal efficiency and reliability. Apply knowledge of data center cooling, Coolant Distribution Units (CDUs), and chip-to-chiller architectures to ensure system-level cooling design and hydronic optimization within the data center environment. Utilize product design principles for high-performance systems, focusing on Design Failure Mode and Effects Analysis (DFMEA) and Design for Manufacturability (DFM), while designing and executing experiments to validate thermal models and system performance.

Apply share * link Copy link * email Email a friend info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Kirkland, WA, USA; Reston, VA, USA; Reno, NV, USA; San Francisco, CA, USA; Sunnyvale, CA, USA. Minimum qualifications: * Bachelor's degree in Mechanical or Industrial Engineering, a related discipline, or equivalent practical experience. * 10 years of experience in mission critical facility design and construction environments. * 8 years of experience in custom mechanical equipment design, with experience in data center server hall infrastructure cooling components and adiabatic cooling systems. * 8 years of experience in thermal analysis and the optimization of data center cooling systems, including experience with water and energy calculations. * 8 years of experience with analytical and modeling tools such as 6Sigma, AFT Fathom, Python, and Sheets for system analysis and design. Preferred qualifications: * Master's degree in Mechanical Engineering or a Professional Engineering (PE) license. * Experience with engineering team management. * Experience in applying data center technologies. * Proficiency with SQL, C++, and Pipe Stress Analysis. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Google is transforming how hyperscale data centers are planned, designed, and built - from custom, stick-built, multi-year construction monoliths to productized, manufactured, modular, just-in-time deployments of fungible capacity. In this role, you will develop liquid cooling solutions for our advanced accelerator roadmap. You will play a crucial role in driving the thermal performance and efficiency of our high-power computing systems. You'll work in a dynamic environment, collaborating with cross-functional teams to design, analyze, and optimize chip-to-chiller cooling systems. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $171,000-$254,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Evaluate, design, and optimize liquid cooling components (e.g., cold plates, manifolds, heat exchangers, fancoils) and their seamless integration into accelerator designs, leveraging expertise in silicon packaging architectures. * Conduct detailed Computational Fluid Dynamics (CFD) and pipe flow analysis (e.g., Applied Flow Technology (AFT) Fathom) for fluid flow, heat transfer, and pressure drop, optimizing designs for maximum thermal efficiency and reliability. * Apply knowledge of data center cooling, Coolant Distribution Units (CDUs), and chip-to-chiller architectures to ensure system-level cooling design and hydronic optimization within the data center environment. * Utilize product design principles for high-performance systems, focusing on Design Failure Mode and Effects Analysis (DFMEA) and Design for Manufacturability (DFM), while designing and executing experiments to validate thermal models and system performance.

_corporate_fare_ Google _place_ Austin, TX, USA; Kirkland, WA, USA; +5 more; +4 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Austin, TX, USA; Kirkland, WA, USA; Reston, VA, USA; Reno, NV, USA; San Francisco, CA, USA; Sunnyvale, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Mechanical or Industrial Engineering, a related discipline, or equivalent practical experience. + 10 years of experience in mission critical facility design and construction environments. + 8 years of experience in custom mechanical equipment design, with experience in data center server hall infrastructure cooling components and adiabatic cooling systems. + 8 years of experience in thermal analysis and the optimization of data center cooling systems, including experience with water and energy calculations. + 8 years of experience with analytical and modeling tools such as 6Sigma, AFT Fathom, Python, and Sheets for system analysis and design. **Preferred qualifications:** + Master's degree in Mechanical Engineering or a Professional Engineering (PE) license. + Experience with engineering team management. + Experience in applying data center technologies. + Proficiency with SQL, C++, and Pipe Stress Analysis. **About the job** Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Google is transforming how hyperscale data centers are planned, designed, and built - from custom, stick-built, multi-year construction monoliths to productized, manufactured, modular, just-in-time deployments of fungible capacity. In this role, you will develop liquid cooling solutions for our advanced accelerator roadmap. You will play a crucial role in driving the thermal performance and efficiency of our high-power computing systems. You'll work in a dynamic environment, collaborating with cross-functional teams to design, analyze, and optimize chip-to-chiller cooling systems. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $171,000-$254,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Evaluate, design, and optimize liquid cooling components (e.g., cold plates, manifolds, heat exchangers, fancoils) and their seamless integration into accelerator designs, leveraging expertise in silicon packaging architectures. + Conduct detailed Computational Fluid Dynamics (CFD) and pipe flow analysis (e.g., Applied Flow Technology (AFT) Fathom) for fluid flow, heat transfer, and pressure drop, optimizing designs for maximum thermal efficiency and reliability. + Apply knowledge of data center cooling, Coolant Distribution Units (CDUs), and chip-to-chiller architectures to ensure system-level cooling design and hydronic optimization within the data center environment. + Utilize product design principles for high-performance systems, focusing on Design Failure Mode and Effects Analysis (DFMEA) and Design for Manufacturability (DFM), while designing and executing experiments to validate thermal models and system performance. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Sunnyvale, CA, USA; Austin, TX, USA. Minimum qualifications: * Bachelor's degree in Electrical Engineering or similar technical field or equivalent practical experience. * 10 years of experience with power converter design including AC/DC, DC/DC, or DC/AC converter design. * 5 years of experience with direct current power distribution design, in areas of steady state and dynamic scenario, protection measures. Preferred qualifications: * Master's degree or PhD in Power Electronics, Power Systems or a related field. * Experience in power converter design including DC/DC converters, AC/DC rectifiers, UPS, etc. * Experience in data center power system design, including microgrids. * Experience with Design or validation with power budgeting/sizing for Artificial Intelligence/Machine Learning. * Understanding of power electronics fundamentals and various power conversion designs for data center power delivery and power converter modeling and simulation. * Excellent communication skills, with the ability to work effectively with cross-functional project teams, attention to detail, problem-solving, and organizational skills. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department --strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $171,000-$254,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Innovate and design data center power conversion specifications and solutions. Analyze performance, cost, reliability, and availability trade-offs. * Lead projects that involve new power systems and power electronics technologies or new uses of multiple existing technologies. * Manage the power systems and power electronics, accelerate the pivot towards Low Voltage Direct Current (LVDC) systems for future data center designs. * Partner with power industry leaders to lead the evaluation and adoption of the most compelling technologies. * Engage cross-functionally to ensure successful roll-out, testing, and complete validation. Provide technical leadership and direction while troubleshooting system level power delivery issues.

_corporate_fare_ Google _place_ Reston, VA, USA; Sunnyvale, CA, USA; +2 more; +1 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Reston, VA, USA; Sunnyvale, CA, USA; Austin, TX, USA** . **Minimum qualifications:** + Bachelor's degree in Electrical Engineering or similar technical field or equivalent practical experience. + 10 years of experience with power converter design including AC/DC, DC/DC, or DC/AC converter design. + 5 years of experience with direct current power distribution design, in areas of steady state and dynamic scenario, protection measures. **Preferred qualifications:** + Master's degree or PhD in Power Electronics, Power Systems or a related field. + Experience in power converter design including DC/DC converters, AC/DC rectifiers, UPS, etc. + Experience in data center power system design, including microgrids. + Experience with Design or validation with power budgeting/sizing for Artificial Intelligence/Machine Learning. + Understanding of power electronics fundamentals and various power conversion designs for data center power delivery and power converter modeling and simulation. + Excellent communication skills, with the ability to work effectively with cross-functional project teams, attention to detail, problem-solving, and organizational skills. **About the job** Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department --strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $171,000-$254,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Innovate and design data center power conversion specifications and solutions. Analyze performance, cost, reliability, and availability trade-offs. + Lead projects that involve new power systems and power electronics technologies or new uses of multiple existing technologies. + Manage the power systems and power electronics, accelerate the pivot towards Low Voltage Direct Current (LVDC) systems for future data center designs. + Partner with power industry leaders to lead the evaluation and adoption of the most compelling technologies. + Engage cross-functionally to ensure successful roll-out, testing, and complete validation. Provide technical leadership and direction while troubleshooting system level power delivery issues. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Mountain View, CA, USA. Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 8 years of experience in project management and technical solution delivery. 5 years of experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments. Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax, etc. Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE. Preferred qualifications: MBA or Master's degree in Computer Science, Engineering or a related field. Experience in one or more of the following specialized domains: advanced networking and storage (e.g., system design of load balancers, firewalls, VPN, and production-grade storage). Experience in accelerated computing: (e.g., Kubernetes, GKE, EKS, and GPU workloads). Experience in AI/ML Infrastructure: (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As an Integration Engineer, you will work directly with Google's customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. fPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to customer requirements and implementation best practices. Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel 50% of the time to customer sites and facilities.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Mountain View, CA, USA. Minimum qualifications: * Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. * 8 years of experience in project management and technical solution delivery. * 5 years of experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments. * Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax, etc. * Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE. Preferred qualifications: * MBA or Master's degree in Computer Science, Engineering or a related field. * Experience in one or more of the following specialized domains: advanced networking and storage (e.g., system design of load balancers, firewalls, VPN, and production-grade storage). * Experience in accelerated computing: (e.g., Kubernetes, GKE, EKS, and GPU workloads). * Experience in AI/ML Infrastructure: (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). * Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As an Integration Engineer, you will work directly with Google's customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. fPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. * Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to customer requirements and implementation best practices. * Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. * Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. * Travel 50% of the time to customer sites and facilities.

_corporate_fare_ Google _place_ Austin, TX, USA; Atlanta, GA, USA; +2 more; +1 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Austin, TX, USA; Atlanta, GA, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. + 8 years of experience in project management and technical solution delivery. + 5 years of experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments. + Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax, etc. + Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE. **Preferred qualifications:** + MBA or Master's degree in Computer Science, Engineering or a related field. + Experience in one or more of the following specialized domains: advanced networking and storage (e.g., system design of load balancers, firewalls, VPN, and production-grade storage). + Experience in accelerated computing: (e.g., Kubernetes, GKE, EKS, and GPU workloads). + Experience in AI/ML Infrastructure: (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). + Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations. **About the job** The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As an Integration Engineer, you will work directly with Google's customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. fPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. + Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to customer requirements and implementation best practices. + Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. + Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. + Travel 50% of the time to customer sites and facilities. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************