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Computer Science Internship Summer 2027

Huntsville, AL

AnaVation is currently looking for hard working bright and energetic undergraduate students to join our 2027 Summer Internship Program. We have opportunities to support software design coding debugging cyber security and data science focuses.    Overview of Internship Program  The summer program offers a ten-week paid internship with AnaVation.  This will be a remote internship but the team will be local to Huntsville AL so in person collaboration will be possible.  The internship program is a combination of mentoring learning activities and project work designed to give broad exposure to the inner workings of a government contracting small business and professional information technology development and support. The nature of the assignments will vary allowing opportunity to exercise customization and creativity while providing a practical and challenging business experience.    Lunch & Learn series with company management and technical leaders  Professional/Career development workshops and activities    ➡ Responsibilities include but not limited to ➡ Cyber Security techniques for offensive and defensive missions  Creating custom software applications including idea development and testing  Developing technology demonstrations leveraging commercial cloud infrastructures (Amazon Web Services (AWS) Microsoft Azure etc.)  Assessment of new application ideas  Research competitor offerings.  Develop applications (coding programming) as team and demonstrating a prototype at the end of the internship to company leadership.  Qualifications ➡ Must be a US citizen with ability to obtain a US Government security clearance. We will offer the opportunity to sponsor successful candidates for a Security Clearance  Computer Science Major with targeted graduation date of May 2028.  Applicants should have excellent analytical and math skills with the ability to work in teams.   Minimum 3.0 grade point average  Computer literacy proficient in the Microsoft Office Suite  Demonstrated work ethic goal-oriented and history of academic success.  Excellent written and verbal communication skills critical thinker leader team player and self-managed learner  Preferred Qualifications ➡ Experience with a group programing project.  Experience with Agile Processes especially Scrum  Proficient in Java and Python  Experience with Front End and/or Back End development.  Experience with NodeJS  Experience with GIT  Experience with Cloud Systems (AWS Azure Google Cloud)  Developing software projects as a hobby.  ➡

Senior Full-Stack Software Engineer (Python / React)

Remote Czech Republic

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America Europe Latin America and Asia we work with the most ambitious companies in financial services healthcare media and technology — helping them move faster modernize boldly and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open portable and built to last. We are building the future of enterprise AI. Greetings future tech savant Embark on an exciting journey into the realm of software development with 3Pillar! We are looking for an experienced Senior Full-Stack Engineer to drive the modernization of our core platform. We need a pragmatic senior-level engineer comfortable across a Python backend and a React frontend on AWS who can tackle complex technical debt own architectural decisions and help us scale our cloud-based system. If you are passionate about building scalable maintainable distributed systems and want to make a tangible impact on a product used by a global customer base this is the role for you. Key Responsibilities Craft client code that is not just efficient but also performant testable scalable secure and of the highest quality. Ensure code is secure through Software Composition Analysis (SCA) and drive remediation through triaging prioritization remediation and verification. Provide accurate status tracking reporting and estimation using project methods and tools. Gather requirements validate their understanding amongst the team and create and maintain relevant documentation. Design and implement scalable AI and agentic workflows using LLMs focusing on reliability and observability. Build and maintain responsive well-tested frontend features in React alongside backend services. Work within an AI-driven development workflow applying spec-driven development practices (writing clear specs/prompts that steer AI-assisted implementation) and using GitHub Copilot as a core part of the daily engineering workflow. Execute activities within the current methodology and uphold the highest quality standards. Partner directly with Product and Engineering leadership to translate complex business requirements into scalable technical solutions. Identify and remediate technical debt to improve system stability performance and developer velocity. Take ownership of projects from technical design to a successful launch. Participating in code reviews to maintain code quality and consistency. Minimum Qualifications Extensive senior-level professional experience in software engineering with strong depth in Python and distributed systems. Proven ability to own technical features from design through to production deployment with minimal supervision. Deep understanding of system design architecture and the ability to solve ambiguous technical challenges. Expertise with Git source control tools (Github Gitlab or others) Expertise with Python package management (UV Conda or others) Experience with unit testing (Pytest). Hands-on experience building production frontend applications in React alongside backend services at scale. Experience with managing Docker containers and orchestration with Kubernetes and AKS. Intermediate level design proficiency following UML / C4 / ArchiMate. Experience in engineering software systems of medium-to-large scope and complexity. Proficiency with relational databases. Experience deploying and operating systems on AWS. Working knowledge of GitHub Copilot (or similar AI coding assistant) and spec-driven development practices in an AI-assisted engineering workflow. Familiarity with Agile software development methodologies. Proficiency in the English language. Additional Experience Desired Knowledge of Python web frameworks (Flask or others) Knowledge of Snowflake Experience with Agentic frameworks (e.g. MCP A2A) Knowledge of workflow orchestration platforms (Apache Airflow Automic Automation or others) Knowledge of protocols like HTTP and serialization formats like JSON and XML. Knowledge of SCA platforms (Github Advanced Security Snyk Checkmarx or others) Familiarity with other AI coding agents (Claude Code Cursor etc.) beyond Copilot. Proficiency in Object-Oriented Programming (inheritance polymorphism classes instances properties). What is it like working for 3Pillar Global? At 3Pillar we offer a world of opportunity Imagine a flexible work environment – whether it's the office your home or a blend of both. From interviews to onboarding we embody a remote-first approach. You will be part of a global team learning from top talent around the world and across cultures speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. We’re big on your well-being – as a company we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings mental health plans (country-dependent) or simply leveraging generous time off we want all of our team members operating at their best. Our professional services model enables us to accelerate career growth and development opportunities - across projects offerings and industries. We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. Join us and be a part of a global tech community! Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our oneteam! We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Développeur(euse) Full Stack

Remote Canada

Développeur(se) Full-Stack (Python / FastAPI) – 100 % Télétravail Poste affiché par My AI Recruiter pour le compte d'un client technologique en croissance. Vous êtes un(e) développeur(se) de niveau intermédiaire passionné(e) par la création d'APIs performantes la conteneurisation et le déploiement infonuagique? Nous recrutons actuellement un(e) Développeur(se) Full-Stack pour l'un de nos clients partenaires! Bien que ce recrutement soit géré par My AI Recruiter vous travaillerez directement au sein de l'équipe d'ingénierie de notre client pour faire évoluer leur architecture logicielle. Exigences du poste Expérience Minimum 3 ans d'expérience professionnelle en développement full-stack ou backend. Éducation Minimum un DEC en informatique (Diplôme d'études collégiales) ou diplôme/expérience équivalent. Backend Solide maîtrise de Python et FastAPI (ou frameworks Python similaires). APIs et bases de données Expérience avancée dans la conception d'APIs REST et la gestion de bases de données relationnelles SQL. DevOps et Infonuagique Excellente connaissance de Docker des pipelines de déploiement et des environnements Cloud (AWS GCP ou Azure). Lieu de travail 100 % à distance (Autorisation de travailler au Canada requise). Vos responsabilités Concevoir tester et maintenir des APIs REST performantes basées sur Python et FastAPI. Modéliser des schémas de bases de données SQL efficaces et optimiser les requêtes. Conteneuriser les applications avec Docker et participer aux opérations de déploiement cloud. Collaborer avec l'équipe pour livrer des fonctionnalités robustes et prêtes pour la production. Comment postuler Postulez directement sur Indeed OU envoyez votre CV par courriel à recruitment@myairecruiter.tech - Full-Stack Developer (Python / FastAPI) – 100% Remote Position posted by My AI Recruiter on behalf of a growing tech client. Are you a mid-level developer who loves building robust backend APIs containerizing microservices and crafting smooth digital experiences? We are hiring a Full-Stack Developer for one of our prime partner clients! While this role is recruited through My AI Recruiter you will be working directly with our client's engineering team to scale their modern tech stack. Key Requirements Experience Minimum 3 years of professional full-stack or backend-focused development. Education Minimum DEC in Computer Science (Diplôme d'études collégiales) or equivalent degree/experience. Backend Core Hands-on expertise with Python and FastAPI (or similar high-performance Python frameworks). API & Data Strong track record designing RESTful APIs and working with relational SQL databases. DevOps & Infrastructure Solid experience with Docker containerization deployment pipelines and cloud environments (AWS GCP or Azure). Location 100% Remote (Must be authorized to work in Canada). What You Will Do Architect test and maintain high-performance REST APIs powered by Python and FastAPI. Design efficient SQL database schemas and optimize query performance. Containerize applications using Docker and support cloud deployment workflows. Collaborate with cross-functional teams to deliver scalable production-ready software. How to Apply Apply directly on Indeed OR email your CV directly to recruitment@myairecruiter.tech Rémunération  70 00000$ à 90 00000$ par an Avantages  Travail à domicile Lieu du poste Télétravail

Lead Data Engineer & Architect (Snowflake & GCP)

Remote Brazil

We are looking for Lead Data Engineer & Architect (Snowflake & GCP) to join our team. Primary Skills Snowflake GCP (Datastream CDC) or AWS Nice to have dbt GitHub CI/CD FinOps Join us as a Lead Data Engineer & Architect (Snowflake & GCP) and help power our next-generation regional data platform for credit risk analytics device financing and real-time operations transforming the way financial services are delivered to thousands of end users and merchant partners across 8 countries. We are a fast-growing multinational Fintech leader transforming financial inclusion and consumer credit across 8 countries in Latin America (including Mexico Colombia Panama and Central America). We build innovative financing solutions—combining credit lines proprietary device-financing technology and advanced analytics—to empower our regional ecosystem. We seek a mature highly experienced Lead Data Engineer & Architect with 5+ years of technical expertise who thrives in complex multi-country cloud environments—balancing deep data engineering execution with multi-region architectural governance security and FinOps strategic leadership. Your primary strength will be designing building and optimizing production environment architectures in Snowflake alongside GCP core ingestion services (Cloud SQL Datastream CDC Cloud Storage). Deep experience in semantic layer delivery using dbt and infrastructure-as-code via Snowflake Database Change Management (DCM) Projects integrated with GitHub is required. As a technical leader you will engage across Product Risk Engineering BI and Regional Leadership forging strong relationships to deliver real business value. Here thoughtful communication and constructive negotiation are as critical as engineering prowess. Responsibilities Architecture & Modernization Lead the architecture end-to-end development and continuous improvement of our multi-country data platform across 8 LATAM operations advocating for modern scalable and secure solutions primarily in Snowflake and Google Cloud Platform (GCP). Pipeline & Ingestion Engineering Build and maintain scalable ingestion and streaming pipelines connecting GCP Cloud SQL via Datastream (CDC) into GCP Cloud Storage (Bronze Layer) and onward into Snowflake using Snowpipe Streams and Tasks. Semantic Layer & Data Modeling Implement and standardize the core data model (Star Schema Medallion Architecture) using dbt to create an explicit reliable semantic layer for cross-country analytics and BI consumption. Data Operations & CI/CD Establish modern DataOps practices by managing database objects deployments and versions via Snowflake DCM Projects directly integrated with GitHub CI/CD pipelines. Governance & Security Architecture Define and enforce multi-country data governance granular RBAC (Role-Based Access Control) dynamic data masking row-level security and strict compliance with local PII / personal data protection laws across all 8 jurisdictions. FinOps & Performance Optimization Actively manage cloud economics by optimizing virtual warehouse sizing clustering keys query execution caching auto-suspend rules and resource monitors to keep Snowflake credit consumption predictable and efficient. Stakeholder Alignment Act as a bridge between technical and non-technical stakeholders translating business goals into robust data pipelines while keeping query execution fast and reliable for Product Risk and Executive teams. Mentorship & Quality Culture Mentor and inspire data engineers introducing software engineering best practices (testing code reviews automated CI/CD) into data workflows and fostering a transparent feedback-rich engineering environment. Requirements Education Bachelor's degree or higher in Computer Science Software Engineering Data Engineering or a related quantitative field. Snowflake Expertise 3+ years of hands-on production experience in Snowflake (or 5+ years in cloud data warehousing with 1+ dedicated to Snowflake). Master-level knowledge of virtual warehouses micro-partitioning Streams & Tasks Snowpipe Time Travel Zero-Copy Cloning and Snowpark. Mandatory GCP Cloud Experience Proven practical experience working with Google Cloud Platform (GCP) specifically GCP Cloud Storage Cloud SQL and Datastream (CDC) for raw data ingestion. Semantic Modeling & Software Engineering Tools dbt (dbt Core or Cloud) for transformational workflows and Snowflake DCM Projects / Git for version control and data-as-code infrastructure deployments. Advanced Code & Scripting Expert proficiency in Advanced SQL and strong proficiency in Python for automated scripting data processing and custom integrations. Data Security & Governance Concrete experience designing multi-tenant or multi-country security architectures including dynamic PII masking RBAC policies and regulatory compliance. Stakeholder & Leadership Skills Outstanding technical communication and negotiation skills. Ability to explain architectural trade-offs to non-technical business leaders in Spanish and produce technical documentation in English. Language Proficiency Professional fluency in Spanish (operational requirement across LATAM teams) and strong written/spoken English (for global vendor/engineering standards). Nice to Haves SnowPro Core or SnowPro Advanced Architect certification. Prior experience in the Fintech Banking or Consumer Credit sector dealing with LATAM regulatory environments. Direct experience integrating downstream BI platforms (Power BI Looker Tableau) with Snowflake semantic layers. We offer Flexible working format - remote office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program tech talks and trainings centers of excellence and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers

Lead Infrastructure Engineer

Remote Brazil

We are looking for a Lead Infrastructure Engineer to architect build automate and manage infrastructure spanning our on-prem data centers and GCP environments. This role fits an engineer who developed their foundation through hands-on operations work (racking hardware running networks bare metal OS installs keeping systems online at 2am) and has since cultivated deep skills in automation infrastructure as code and public cloud platforms. You'll define technical direction for infrastructure mentor engineers and take ownership of the systems that support our global-scale operations. Responsibilities Architect and manage large-scale multi data center infrastructure supporting global operations across on-prem hardware GCP and AWS Drive automation efforts for infrastructure deployment and configuration management guiding the shift from legacy tooling toward modern Infrastructure as Code solutions like Terraform Puppet and Ansible Design and sustain traffic management load balancing and DNS systems at scale Construct and manage monitoring and observability systems spanning both on-prem and cloud environments Create tooling that enables distributed auditable systems administration Author and maintain process policy and procedural documentation for the infrastructure team Requirements At least 5 years of relevant experience in infrastructure or systems engineering including direct operational responsibility for production systems Experience handling all aspects of remote management for physical hardware infrastructure hosted at colocation facilities Extensive Linux systems administration experience such as Red Hat or Debian at scale Practical experience with core networking including Cisco hardware DNS load balancing and traffic management Experience with enterprise storage and backup systems Established track record automating infrastructure using tools such as Ansible Puppet or comparable technologies Skilled in Python or a similar language for infrastructure tooling and automation Production experience with GCP including Compute Engine networking storage and IAM Demonstrated capability to lead infrastructure projects and mentor fellow engineers Excellent English proficiency (B2 level or higher) Nice to have Experience transitioning on-prem workloads to public cloud platforms Experience with distributed monitoring and logging stacks such as Grafana or Prometheus Experience with container orchestration tools such as Kubernetes or GKE Experience guiding and mentoring junior engineers We offer International projects with top brands Work with global teams of highly skilled diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor Newsweek and LinkedIn EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age sexual orientation gender identity or expression disability protected veteran status or any other characteristic protected by applicable law.

Lead Infrastructure Engineer

Remote Brazil

We are seeking a Lead Infrastructure Engineer to design build automate and oversee infrastructure across our on-prem data centers and GCP environments. This position is well-suited to an engineer who built their foundation through hands-on operations work (racking hardware running networks bare metal OS installs keeping systems online at 2am) and has since developed strong expertise in automation infrastructure as code and public cloud platforms. You'll shape technical direction for infrastructure guide engineers and take ownership of the systems powering our worldwide operations. Responsibilities Design and oversee large-scale multi data center infrastructure that supports global operations across on-prem hardware GCP and AWS Lead automation initiatives for infrastructure deployment and configuration management steering the transition from legacy tooling to modern Infrastructure as Code solutions such as Terraform Puppet and Ansible Design and support traffic management load balancing and DNS systems at scale Build and manage monitoring and observability systems across both on-prem and cloud environments Develop tooling that supports distributed auditable systems administration Write and update process policy and procedural documentation for the infrastructure team Requirements A minimum of 5 years of relevant experience in infrastructure or systems engineering including direct operational responsibility for production systems Experience managing all aspects of remote administration for physical hardware infrastructure hosted at colocation facilities Substantial Linux systems administration experience such as Red Hat or Debian at scale Hands-on experience with core networking including Cisco hardware DNS load balancing and traffic management Experience with enterprise storage and backup systems Solid track record automating infrastructure using tools such as Ansible Puppet or similar technologies Proficient in Python or a similar language for infrastructure tooling and automation Production experience with GCP including Compute Engine networking storage and IAM Proven ability to lead infrastructure projects and mentor fellow engineers Excellent English proficiency (B2 level or higher) Nice to have Experience shifting on-prem workloads to public cloud platforms Experience with distributed monitoring and logging stacks such as Grafana or Prometheus Experience with container orchestration tools such as Kubernetes or GKE Experience mentoring and guiding junior engineers We offer International projects with top brands Work with global teams of highly skilled diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor Newsweek and LinkedIn EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age sexual orientation gender identity or expression disability protected veteran status or any other characteristic protected by applicable law.

Senior IT Program Manager

Job Description Type of Requisition Regular Clearance Level Must Currently Possess None Clearance Level Must Be Able To Obtain None Public Trust/Other Required BI Full 6C (T4) Job Family Program Delivery and Execution Skills Job Qualifications ACA Compliance Leadership NSA Program Management Certifications None Experience 8 + years of related experience US Citizenship Required No Job Description We are GDIT. We stay at the forefront of innovation to solve complex technical challenges. GDIT is your place. Make it your own by discovering new ways to securely and expertly apply the latest technology. Own your opportunity at GDIT and you’ll be a meaningful part of improving how agencies operate. Our work depends on a Senior IT Program Manager joining our team to support the Centers for Medicare and Medicaid Services (CMS) activities remotely. Work visa sponsorship will not be provided for this role. At GDIT We Foster a People-centric Environment. As a Senior IT Program Manager Supporting CMS You Will Be Trusted To Lead Complex Mission-critical Initiatives For Federal Health Programs With a Focus On Implementing And Operating Affordable Care Act (ACA) And No Surprises Act (NSA) Capabilities Under Evolving Policy Direction. This Senior-level Role Blends Program Management Discipline Technical Team Leadership Client Advisory And Operational Excellence. The Ideal Candidate Demonstrates a Consultant Mindset—framing Problems Clearly Designing Actionable Solutions Driving Adoption And Continuous Improvement And Building Trust Through Credible Transparent Engagement With Senior Government Stakeholders While Also Managing a Large Cross-functional Team. In This Role a Typical Day Will Include Serve as the Government’s single focal point for the IT design implementation and coordination acting as the primary technical liaison across CMS/CCIIO and contractor leadership. Hold responsibility accountability and authority for directing and managing GDIT’s contract performance including exceeding SLAs KPIs and CPARs outcomes. Provide leadership supervision and guidance for all personnel inclusive of subcontractors/teaming partners. Lead multiple concurrent projects and releases manage scope schedule resource allocation risk and delivery quality across geographically dispersed teams that operate independently but must also operate cohesively. Oversee schedule management including coordinate between technical and operational teams ensuring communication moves seamlessly across scrum and operational teams and to the customer. Structure operational workflows establish governance mechanisms and continuous improvement initiatives based on Agile best practices. Develop and deliver strategy documents vision papers technology analyses and executive briefings translate policy direction into actionable delivery plans. Facilitate data strategy and governance (e.g. IDR and ACA operations) ensuring data security reliability availability and integrity. Integrate program management discipline with technical oversight across cloud and enterprise platforms (e.g. AWS Salesforce) drive incident/problem/change management effectiveness. Design and implement KPI dashboards and reporting that provide transparency to performance service levels and backlog reduction. Prepare Level of Effort (LOE) estimates for change requests and lead impact analyses. Champion automation efficiency and modernization—including AI/ML-enabled optimization to improve forecasting anomaly detection and operational decision-making. WHAT YOU’LL NEED Bachelor’s degree and 8+ years of IT program/project management including leadership of large-scale government or enterprise programs with distributed teams. 8+ years of experience managing CMS programs and/or projects including experience with CMS/CCIIO Affordable Care Act (ACA) operations and/or No Surprises Act (NSA) preferred. Managerial experience in a mission-critical technical environment with a significant number of direct staff. Proven skills in problem resolution manpower utilization and employee relations. Experience organizing directing and managing teams and functions involving complex inter-related activities implementing new or evolving policy. Experience managing the client interface at senior levels of an organization. Demonstrated Agile experience across the full development lifecycle proficiency with Atlassian JIRA and Confluence. Ability to communicate complex technical information in clear executive-friendly terms strong presentation and briefing skills. Experience with cloud/platform operations (e.g. AWS Salesforce) and data governance in support of ACA operations. Strong analytical skills experience creating schedules and timelines tracking deliverables and metrics and producing dashboards and insights. Proficiency with Microsoft Office including Project or comparable tool. Candidate must have lived in the United States at least three (3) out of the last five (5) years. Candidate must be willing and able to obtain a Public Trust clearance. PREFERRED QUALIFICATIONS Experience supporting Salesforce services and development knowledge of Salesforce data management. Experience leading organizational adoption of AI/ML technologies for operational modernization. Active PMP and/or Scrum/Agile/SAFe certification(s). Cloud certifications including Salesforce and/or hands-on experience with AWS and/or Salesforce. Experience supervising mentoring and developing teams through modernization and migration initiatives (e.g. legacy to cloud). 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 Community Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. The likely salary range for this position is $170000 - $230000. 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. Scheduled Weekly Hours 40 Travel Required Less than 10% Telecommuting Options Remote Work Location Any Location / Remote Additional Work Locations Total Rewards At GDIT 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. Our Identity Verification Process As part of the hiring process we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding you authorize the collection processing and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government defense and intelligence community. Our 26000 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 mission-ready capabilities in AI cloud cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

San Jose, CA

At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native at-scale (15000+ users at destination) enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. In this role you will Partner with a cross-functional team of engineers research scientists technical program managers and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Design develop test deploy and support AI software components including foundation model training large language model inference similarity search guardrails model evaluation experimentation governance and observability etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters Huggingface VectorDBs Nemo Guardrails PyTorch and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability cost latency throughput — of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate You love to build systems take pride in the quality of your work and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics and your expertise in hardware software and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications Bachelor's degree in Computer Science Engineering or AI plus at least 8 years of experience developing AI and ML algorithms or technologies or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python Go Scala or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS Google Cloud Azure or equivalent private cloud) Experience architecting designing developing integrating delivering and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference Similarity Search and VectorDBs Guardrails Memory) using Python C++ C Java or Golang Master's degree in Computer Science Computer Engineering or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization latency throughput and cost Passion for staying on top of the latest AI research and AI systems and judiciously apply novel techniques in production Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers 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. Remote (Regardless of Location) $244700 - $279200 for Distinguished AI Engineer Cambridge MA $269100 - $307200 for Distinguished AI Engineer McLean VA $269100 - $307200 for Distinguished AI Engineer New York NY $293600 - $335100 for Distinguished AI Engineer San Francisco CA $293600 - $335100 for Distinguished AI Engineer San Jose CA $293600 - $335100 for Distinguished AI 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 1-800-304-9102 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 Careers@capitalone.com 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).

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

San Francisco, CA

At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native at-scale (15000+ users at destination) enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. In this role you will Partner with a cross-functional team of engineers research scientists technical program managers and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Design develop test deploy and support AI software components including foundation model training large language model inference similarity search guardrails model evaluation experimentation governance and observability etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters Huggingface VectorDBs Nemo Guardrails PyTorch and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability cost latency throughput — of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate You love to build systems take pride in the quality of your work and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics and your expertise in hardware software and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications Bachelor's degree in Computer Science Engineering or AI plus at least 8 years of experience developing AI and ML algorithms or technologies or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python Go Scala or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS Google Cloud Azure or equivalent private cloud) Experience architecting designing developing integrating delivering and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference Similarity Search and VectorDBs Guardrails Memory) using Python C++ C Java or Golang Master's degree in Computer Science Computer Engineering or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization latency throughput and cost Passion for staying on top of the latest AI research and AI systems and judiciously apply novel techniques in production Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers 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. Remote (Regardless of Location) $244700 - $279200 for Distinguished AI Engineer Cambridge MA $269100 - $307200 for Distinguished AI Engineer McLean VA $269100 - $307200 for Distinguished AI Engineer New York NY $293600 - $335100 for Distinguished AI Engineer San Francisco CA $293600 - $335100 for Distinguished AI Engineer San Jose CA $293600 - $335100 for Distinguished AI 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 1-800-304-9102 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 Careers@capitalone.com 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).

Senior Distinguished Engineer, AI Compute (Remote Eligible)

McLean, VA

At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build orchestrate and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer a hands-on technical leader passionate about distributed systems to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages popular distributed compute frameworks including Spark / Dask / Ray / Flink container (e.g. Kubernetes) and serverless (e.g. AWS Lambda) runtime environments and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role you will Architect and build control and data plane implementations required to realize a highly available multi-tenant large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends experimenting with and learning new technologies participating in internal & external technology communities and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications Bachelor's degree in Computer Science AI Electrical Engineering Computer Engineering or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies or a Master's degree in Computer Science AI Electrical Engineering Computer Engineering or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python Go Scala or Java Preferred Qualifications Master’s Degree in Computer Science or a Master’s Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training fine-tuning or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS EC2 UltraClusters Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects 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. Remote (Regardless of Location) $286200 - $326700 for Sr. Distinguished AI Engineer Cambridge MA $314800 - $359300 for Sr. Distinguished AI Engineer McLean VA $314800 - $359300 for Sr. Distinguished AI Engineer New York NY $343400 - $392000 for Sr. Distinguished AI Engineer Richmond VA $286200 - $326700 for Sr. Distinguished AI Engineer San Francisco CA $343400 - $392000 for Sr. Distinguished AI Engineer San Jose CA $343400 - $392000 for Sr. Distinguished AI 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 1-800-304-9102 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 Careers@capitalone.com 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).