Requirements engineer jobs in Reston, VA - 4,430 jobs

**Req ID:** RQ210253 **Type of Requisition:** Regular **Clearance Level Must Be Able to Obtain:** Secret **Public Trust/Other Required:** None **Job Family:** Field Service and Support **Skills:** Cabling,Network Infrastructures,Optical Fibers,Technical Knowledge **Experience:** 2 + years of related experience **US Citizenship Required:** Yes **Job Description:** Make meaningful contributions that fuel critical outcomes for some of the most complex government, defense, and intelligence projects. Join GDIT as a Field Engineer for a career where your growth is just as important as the mission you support. **MEANINGFUL WORK AND PERSONAL IMPACT** Field Engineer provides technical expertise to modernize network design and implementation supporting multiple Air Force and Space Force bases globally. The Field Engineer will be the technical resources supporting the survey and implementation efforts. Works closely with the base's counterparts and facilitate the planning, execution, testing and sustainment of the wired functionality of the network. This position will perform the following duties: + Execution - Coordinate with Government Points of Contact (POCs) to coordinate design, installation, base access, clearance, escorts, personnel and equipment to ensure project tasks can be completed on time. + Stakeholder Communications - assist the PM with ensuring clear, consistent, timely and accurate communications are maintained with internal and external project stakeholders + Technical support - provide input into the distribution systems design (ISP/OSP) and technical recommendations to the program and operation teams. + Leadership - Lead small implementation teams or manage specific work scopes for a given AF/SF base. **WHAT YOU'LL NEED TO SUCCEED** + **Education** : Bachelor's Degree from an accredited institute in an area applicable to this position. Equivalent years of experience may be substituted in lieu of degree. + **Experience:** 2+ years' experience in various aspects of IT upgrade projects in the DoD environment. + **Technical skills:** Familiarity with distribution systems (ISP/OSP) design and Implementation documents such as - Site Survey Reports, Preliminary and Critical Design documentation, As-built diagrams, rack elevations and circuit connectivity matrices + Familiar with all aspects of fiber testing + Thorough understanding of Wired and general IT functions **Skills & Abilities:** + Ability to work effectively in a virtual teaming environment. + Ability to read, analyze and interpret technical procedures, documents and governmental regulations + Strong commitment to a team environment and the ability to work collaboratively + Strong coordination and organizational skills + Excellent written and oral communication skills **DESIRED QUALIFICATIONS:** + Experience using MS Visio or related CAD tools + Security Clearance Level: ActiveDoD **Secret** Level Clearance required + Location: **Oklahoma City area required** (role is remote but will require extensive travel and ability to report into the OKC office as needed) + US citizenship required **GDIT IS YOUR PLACE** At GDIT, the mission is our purpose, and our people are at the center of everything we do. + Growth: AI-powered career tool that identifies career steps and learning opportunities + Support: An internal mobility team focused on helping you achieve your career goals + Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off + Flexibility: Full-flex work week to own your priorities at work and at home + Community: Award-winning culture of innovation and a military-friendly workplace **OWN YOUR OPPORTUNITY** Explore a career at GDIT and you'll find endless opportunities to grow alongside colleagues who share your ambition to deliver your best work. The likely salary range for this position is $64,230 - $80,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at ******************** Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. In Capital One, Distinguished Engineers demonstrate the following attributes. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Have a software engineering/problem solving mindset being equally comfortable in deep diving with an understanding of how to build highly resilient operational platforms that can scale with 4 9's availability As a Distinguished Engineer, in the Servicing Platform space you will partner alongside Product and Engineering teams to build and deliver innovative solutions at an enterprise scale. You will be involved in continuously helping to build and improve our platforms to ensure security, performance, maintainability, and usability are best-in-class. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Operates with a platform mindset with deep familiarity on multi-tenancy, serverless computing, high performance computing patterns. Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible. Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization. Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Basic Qualifications: Bachelor's Degree At least 7 years of experience in software engineering or solution architecture (Internship experience does not apply) At least 3 years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 1 year of experience implementing ML or AI on enterprise platforms Preferred Qualifications: Masters' Degree 10+ years of experience in software engineering or solution architecture 7+ years experience designing and building enterprise platform solutions 5+ years of experience with Agile software development 4+ years experience with AWS 3+ years of experience defining software design, architecture and engineering practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished EngineerRichmond, VA: $244,700 - $279,200 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10040 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent - 3+ years of cloud architecture and solution implementation experience - 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift. - Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing. - Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g., HIPAA, GDPR). - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda. - Experience with non-relational databases and implementing data governance solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Conviso Inc is hiring Sr Splunk Engineer with at least 6 years of Splunk experience to join our cybersecurity / IT operations team. Role: Splunk Engineer Active Secret Clearance Required Certification Requirements: DoD 8570 IAT II (i.e. Security+), Splunk Certified Administrator or higher Key Responsibilities Splunk Platform Management: Install, configure, and maintain Splunk Enterprise, UBA, and SOAR in both on-premises and cloud/hybrid architectures; perform system upgrades, patching, and troubleshooting. Strong preference for any Oracle cloud experience. UBA and SOAR Optimization: Customize and fine-tune UBA models for behavioral analytics; configure playbooks, integrations, and automated actions within SOAR to accelerate threat response. Coordinate directly with on-prem/cloud infrastructure teams to maintain and deploy these modules. Team Leadership & Mentoring: Supervise, mentor, and provide technical guidance to junior Splunk team members and peers; delegate tasks, review work quality, facilitate skills development, and foster a collaborative team environment in alignment with mission objectives. Security and Compliance: Implement and maintain Splunk best practices in accordance with defense agency security policies, compliance requirements, and data retention standards. Experience with STIGs mandatory. Incident Handling: Respond to incidents with appropriate logs and reports; proactively troubleshoot any log/analytic abnormalities preventatively. Collaboration & Agile Delivery: Work within Agile project teams, attending ceremonies (stand-ups, sprints, retrospectives) and using Jira for ticketing, backlog tracking, and documentation. Knowledge Sharing: Develop, update, and share technical documentation, standard operating procedures (SOPs), runbooks, and knowledge articles in alignment with agency practices. Work with many small, medium, and large teams to achieve agency and program objectives. Log Management and Analysis: Aggregate and parse logs from diverse data sources; develop and maintain dashboards, reports, alerts, and custom searches to surface actionable intelligence. Technical Skills: Mastery in deploying and managing Splunk Enterprise, UBA, SOAR, and other Splunk modules. Experience using scripting (e.g., Python, Bash) for automation and data manipulation. Mastery in designing and tuning Splunk searches, dashboards, alerts, and CIM compliance. Experience with log sources common to defense/enterprise networks (Windows, Linux, network appliances, security devices). Experience using Jira for workflow management and Agile methodologies for project delivery. Key Attributes and Soft Skills Skilled communicator, able to collaborate with IT, cybersecurity, and mission teams in written and verbal communications with a positive attitude and customer-first approach. Proactive learner-stays current on Splunk and security operations best practices.

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit ************** Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Hivemind Solutions Test department (HMS Test) is a group on a mission to build comprehensive and robust testing infrastructure that supports the development and deployment of the world's best AI pilot and most reliable aircraft. Hivemind Test is dedicated to ensuring the highest level of quality, reliability, and performance in our Hivemind software ecosystem. This ecosystem includes software for AI behaviors, embedded systems, system integration, and more. Our group is charged with validating and verifying our Hivemind software meets reliability standards and is operationally ready to meet mission objectives on aircraft, such as real-world jets, Shield AI's V-BAT and beyond. As a HIL Integration Engineer, you will be at the epicenter of integration and testing for deploying our Hivemind Software and AI Pilot on various aircraft platforms. You will be helping us build Hardware-In-The-Loop infrastructure to execute the integration and testing of SW and HW systems throughout simulation and on-ground test campaigns. Our test campaigns are hands‑on and fast paced, depending on high-fidelity simulation hardware to ensure high-quality flight software releases. Your efforts will be rewarded with successful flight test events, and your contributions will play a key role in developing an AI autopilot, enabling intelligent aircraft, historic aviation firsts and fulfilling our mission to protect service members and civilians the world over! What you'll do: Design, build and maintain Hivemind Hardware-in-the-loop infrastructure including mechanical design, electrical integration and building fixtures with lab technicians. Lead sensor integration into Hivemind targeted platforms. Create software support utilities and automated test tools for Hardware-In-The-Loop test fixtures and simulated flight testing (Python and/or C++). Hands‑on testing, integration and debugging during on‑ground and in‑flight test campaigns. Work with Hivemind engineering to test and integrate software and hardware systems preparing for simulation milestones and flight tests. Become a subject‑matter‑expert for running Hivemind tests on our Hardware-In-The-Loop and Vehicle-In-The-Loop systems. Run simulated flight tests to validate Hivemind + aircraft subsystems. Support on‑site flight testing that involves system configuration, running aircraft software, and data post‑analysis. Contribute to and execute test plans to validate Hivemind SW and HW systems. Drive continuous improvement in testing methodologies, tools and rapid prototyping. Required qualifications: Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. Hands‑on mechanical and electrical engineering skills. Proficiency in Python (or C++). Experience in robotics, small UAS, or related hands‑on engineering projects. Strong analytical, problem‑solving, and debugging skills. Excellent communication and collaboration skills, with the ability to work effectively with cross‑functional software, hardware and mechanical engineering teams. Adaptability and a willingness to learn new technologies and methodologies quickly in a fast‑paced environment with a bias towards action. The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance. Preferred qualifications: Exposure to CAD software (i.e.. NX, Solidworks). Experience rapid prototyping, building and/or flying small aircraft, such as quadrotor drones, robotics or similar. FIRST Robotics experience. Experience in the robotics, aerospace, space or defense industries, working with complex systems and adhering to stringent standards and regulations. Experience working with software management tools (Git, AzureDevOps/Jira, Artifactory) helpful. Active SECRET clearance. $140,000 - $210,000 a year Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI 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, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. #J-18808-Ljbffr

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

Terms of Employment • W2 Contract-to-Hire, 12 months • This is a hybrid schedule at Reston, VA, Candidates must reside in Maryland, Washington, DC, or Virginia Role Purpose The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company's data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance Core Responsibilities: • Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines. • AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments. • Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities. • Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets. • Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems. • Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies. Required Qualifications Education: Bachelor's degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required. Experience: At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects Knowledge and understanding of SQL ., Expert Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools) Knowledge and understanding of database design and implementation concepts. , Expert Knowledge and understanding of data exchange formats., Expert Knowledge and understanding of data movement concepts, Expert Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert Able to effectively provide direction to and lead technical teams., Expert nTech is an equal opportunity employer. All offers of employment are contingent upon pre-employment drug and background screenings. Only candidates who meet all of the above client requirements will be contacted by a recruiter.

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr

Below are the 3 roles open: 1) Data Engineer 2) Data Scientist 3) Data Architect Job Descriptions: Data Engineer Design, build, and optimize batch and real-time data pipelines using Python, SQL, Airflow, Kafka, and AWS Glue Lead scalable ETL and data lake architectures across distributed cloud environments Ensure data quality, governance, security, and compliance while supporting analytics and data science needs Mentor junior engineers and collaborate with stakeholders to deliver reliable, well-documented data solutions Data Scientist 3+ years of experience in statistical modeling and applied data analysis, including regression, classification, clustering, and time-series analysis Proficient in Python or R, with hands-on experience in data wrangling, visualization, and model development Strong experience with SQL/Spark SQL, basic data modeling, and cloud platforms (AWS, Azure, or GCP) Excellent ability to communicate complex insights and manage multiple priorities effectively Data Architect: Lead and mentor data engineering teams while architecting and building enterprise-scale data platforms from design through production Develop and optimize production-grade ETL/ELT pipelines, data models, and data warehouses using Python, SQL, PySpark, and cloud platforms (AWS/GCP) Implement CI/CD, data governance, quality frameworks, and secure, compliant data solutions aligned with federal/VA standards Collaborate with cross-functional stakeholders to translate business requirements into scalable, high-quality data solutions

CommVault Systems Engineer (Data Protection / Backup) Employment Type: Full-Time, Experienced Department: Technology Support CGS is seeking an experienced CommVault Data Protection Engineer with extensive knowledge and experience in designing, developing, configuring, implementing, testing, troubleshooting, deploying, and supporting backup and recovery technical solutions for a large-scale federal government enterprise's environment. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Designed, developed, configured, integrated and secured complex backup, recovery and storage products over wide area network (WAN) in a complex, geographically dispersed solution, ranging from single servers to multi-tier, multi-platform solutions utilizing the Commvault enterprise backup solutions. Create and maintain optimal backup, restore and redundancy solutions for critical data - to include primary/auxiliary copies and VM-based backups. Reviews, plans, and participates in executing regularly scheduled maintenances on the backup/recovery infrastructure. Troubleshoot complex backup and recovery problems to include networking, application, server, hardware, and appliance related backup issues. Provide analytics, usage, capacity planning and reporting within the Commvault management and monitoring solution. Implement regular security updates and patches to related backup application servers and appliances in accordance with Federal Information and Information Systems requirements. Work with operation teams to develop and support enterprise infrastructure processes, tools, and environments to ensure a timely response to backup, restore, and data replication requests. Qualifications: Possesses a strong knowledge of Commvault data protection application. Knowledge of other technologies a plus (LAN, WAN, Microsoft Windows Servers, Linux, SQL database). Experience with DISA STIGs and applying to Commvault related systems. Perform security related tasks which include documentation, vulnerability scan review, assessment support, patch management, and auditing as required Ideally, you will also have: CommVault Certified Engineer Working knowledge of SAN and Cloud storage systems - EMC Unity and PURE Storage. Federal Agency issued security clearance. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: ******************* #CJ $123,274.67 - $167,301.34 a year

Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers' mission to defend against evolving threats around the world. Our team's focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets. The Intelligence Production Solutions Division (IPSD), part of the Decision Advantage Solutions Business Area, is currently seeking a Mid-Level Systems Engineer for the Chinook Program. As part of a highly skilled team, you will play a critical role in delivering geospatial intelligence (GEOINT) capabilities through innovative systems engineering practices, directly supporting the Customer's mission to provide timely, relevant, and accurate intelligence to national decision-makers and warfighters. Position may be performed in the following locations below. Please note Gaithersburg, MD is the program's primary work location. Gaithersburg, MD Alexandria, VA Chantilly, VA Aurora, CO St. Louis, MO Tucson, AZ Clearance Level Required: Top Secret with SCI eligibility and able to obtain a Polygraph. Primary Responsibilities: Support system architecture design, requirements development, integration planning, and configuration management. Provide engineering expertise for mission systems across the full system lifecycle from concept through deployment and sustainment. Collaborate with stakeholders across the Customer's and contractor teams to ensure interoperability, scalability, and mission alignment. Evaluate and recommend tools, techniques, and processes for system development and integration. Develop and maintain technical documentation, including system interface control documents (ICDs), and engineering reports. Participate in technical reviews, readiness assessments, and milestone events. Conduct analysis of system performance and provide recommendations for optimization. Basic Qualifications: US citizenship is required per contract. Bachelor's degree in Systems Engineering, Computer Science, or related field and 4-8 years of prior relevant experience or Master's with 2-6 years of prior relevant experience. Strong understanding of systems engineering principles, including requirements management, integration & test, and configuration control. Familiarity with Model-Based Systems Engineering (MBSE) tools and methodologies (e.g., Cameo, Sysml). Experience working in a DoD or Intelligence Community (IC) environment. Proficiency with Atlassian tools (JIRA, Confluence), Microsoft Office Suite, and collaboration platforms. Excellent written and verbal communication skills. Preferred Qualifications: Systems Engineering Professional (SEP), INCOSE, CISSP, Security+ certification, or similar credentials. Experience supporting the Customer's programs or working with the GEOINT lifecycle. Knowledge of cloud-based architectures (AWS, C2S) and DevSecOps environments. Familiarity with Agile and SAFe methodologies. Experience supporting GEOINT missions. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Original Posting: November 21, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

Role Description: Job Title Avaya Voice Phone Telephony Systems Engineer Location Frederick, Maryland Department IT Infrastructure TelecomRoles ResponsibilitiesEstablish and maintain voice and data networks by configuring features, interfaces, and integrations in alignment with industry standards.Activate and manage remote access tools for telephony systems.Verify service functionality through circuit testing, equipment reprogramming, and alarm validation troubleshoot and resolve issues in collaboration with engineering teams.Document telecom network configurations, including diagrams and programming details.Maintain system integrity by diagnosing outages, testing backup procedures, and updating documentation.Administer Avaya phone systems, including call vector design, testing, troubleshooting, and voicemail management.Respond to and resolve Service Desk escalations related to voice adds, moves, and changes across Avaya, Uptivity, TASKE, and AWS Connect platforms.Monitor and document system usage, licenses, and perform regular audits and cleanups.Manage tasks and incidents through HEAT ticketing system and Agile Sprint tracking.Required Technical Skill SetStrong experience in configuring and managing Telephony Systems.Proficiency in Avaya Call Manager, System Manager, and Voicemail Systems.Hands-on experience with NICE Uptivity for call recording and screen capture.Familiarity with TASKE Reporting tools.Exposure to Cisco, secure telephone, and video communication technologies.In-depth knowledge of telecommunications technologies and Avaya PBX systems.Experience administering Avaya Unified Communications environments.AWS Connect configuration and administration expertise.Ability to program voice and data telecommunications network circuits and equipment.Understanding of business continuity and disaster recovery strategies.Experience in designing and optimizing telephony networks. Competencies: Avaya Aura, BT Enterprise Telephony Experience (Years): 10 & Above Essential Skills: Avaya Voice Phone Telephony Systems Engineer

Dynamic Solutions Technology, LLC, a premier strategic services firm that meets IT and Service needs for commercial and government clients. We are is seeking a full-time Engineer III This exempt position is located in Washington, DC. ACTIVE SECRET CLEARANCE REQUIRED Responsibilities: Responsible for developing the overall DevSecOps Perform engineering functions such as developing operational systems concepts, performing system trade studies, originating design concepts or performing systems level test and integration test for highly complex systems Overseeing the creation of hybrid software, web and hardware products from initial specifications to final rollout and maintenance. Integrating various network operating systems, application programs and hardware devices through system specification, design, coding, testing and maintenance support. Overall project design including cost, schedule, and social issues that may be associated with a project Highly skilled in preparing and delivering presentations/briefing Assist to define system requirements and technical specifications for C4I systems Work with end users to troubleshoot and fix issues Document configuration parameters and workflows Ensure systems are properly configured and maintained Plan, organize, troubleshoot, and direct the analysis and resolution of complex process and system problems Manage test scheduling and operations to ensure deadlines are met Apply a working knowledge of network architectures, computing systems, communications systems and unique hardware aspects of distributed data communications environments for testing sensors using real-time networks Track project execution to ensure deadlines are met Plan and evaluate architectural design Review system performance and identify technical risks and associated risk mitigation approaches Provide technical recommendations to team members and managers. Outline and communicate effective technical approaches for systems engineering activities. Adopt innovative methods or approaches to solve systems engineering technical problems Experience being the task lead/manager Qualifications: Active Secret Security Clearance Bachelor's Degree in Engineering, Computer Science, Software Engineering Computer Engineering Minimum seven (7) years professional experience Security + Certification Skills: Excellent oral and written skills Experience preparing and delivering presentations/briefing and have experience being the task lead/manager. Excellent critical thinking skills. Proficient in Microsoft applications such as Word, Excel, PowerPoint, and Outlook.

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished EngineerMcLean, VA: $269,100 - $307,200 for Distinguished EngineerNew York, NY: $293,600 - $335,100 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10040 Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent 3+ years of cloud architecture and solution implementation experience 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift. Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing. Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda. Experience with non-relational databases and implementing data governance solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will partner with the Capital One Travel Data & Personalization team to architect the next generation of our Travel Intelligence Platform, serving as theprimary architectfor the foundational data schemas and orchestration layers that power our entire travel ecosystem. Your mission is to move beyond reactive tools by establishing aholistic Agentic AI framework-a vision where reasoning-based agents bridge the gap between high-scale data orchestration and real-world execution. You will be responsible for building an ecosystem that simultaneously enablesclassic machine learning model developmentfor predictive insights while scaling agentic systems to automate complex workflows. This enablesproactive journey management, where AI anticipates needs and prepares recommendations while incorporating human-in-the-loop approval when necessary. A key component of your strategy will be designing our growth marketing engine, where you will lead thestrategic selection and architectural integrationof our technology stack to ensure seamless, hyper-personalized, and value-optimized customer acquisition. By unifying these intelligent systems with a robust and scalable data architecture, you will transform how millions of customers discover, book, and experience travel within our premium portfolio. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Basic Qualifications: Bachelor's Degree At least 9 years of experience in software engineering (including solution architecture and enterprise design patterns). At least 7 years of experience in Data Engineering or Machine Learning Engineering, specifically building and maintaining large-scale production data pipelines (PySpark, SQL, Airflow). At least 5 years of experience in Cloud Native Architecture (AWS preferred), including container orchestration (Kubernetes/KubeFlow) and serverless design. At least 3 years of experience in a Technical Leadership role (Principal, Staff, or Distinguished Engineer), leading cross-functional initiatives without direct reporting lines. Preferred Qualifications: 10+ years of experience in Software Engineering and Solution Architecture with a focus on high-scale data systems. 3+ years of experience in Machine Learning Engineering, specifically implementing LLMs or Agentic workflows in production. Deep expertise in Data Design (Delta Lake, Snowflake, or Iceberg) and Streaming (Kafka). Proven track record of building MarTech or Personalization engines that scale to millions of users. Strong communication skills with the ability to translate "Agentic AI" concepts into business value for CX & Growth Marketing leadership. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $287,800 - $328,500 for Distinguished EngineerMcLean, VA: $263,900 - $301,200 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).