Design, build, test, deploy, maintain, and support reliable data pipelines, integrations, curated datasets, and reusable clinical data products across the R&D technology landscape.
Responsibilities
Design, build, test, deploy, maintain, and support reliable data pipelines, integrations, curated datasets, and reusable clinical data products from discovery through production.
Partner with Data Product Owners, business stakeholders, application teams, and architects to translate roadmaps, requirements, and acceptance criteria into incremental engineering deliverables and production releases.
Develop fit-for-purpose data solutions across the R&D technology landscape, using Databricks and other appropriate database, integration, orchestration, and processing technologies.
Integrate structured and semi-structured data from clinical, laboratory, regulatory, quality, safety, and external-provider systems to support business processes, applications, analytics, AI, and reusable data products.
Translate approved data designs and business requirements into scalable technical data models and implementation patterns.
Guide globally managed Enterprise Partners through the build journey, providing architectural guidance, technical expertise, and pre‑sales support for Microsoft Cloud & AI solutions.
Compensation
Cloud Solution Architecture IC5 - The typical base pay range for this role across United Kingdom is £ 79,700.00 - £ 133,900.00 per year.
Responsibilities
Guide Solution Development & Activation
Empower Innovation
Strategic Sales Enablement
Champion Technical Excellence
Thought Leadership & Stakeholder Management
Requirements
Master's or Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Locations (3)
McLean, Virginia, United States
Plano, Texas, United States
Richmond, Virginia, United States
Compensation
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: $229,900 - $262,400 for Full-stack Engineer 5
Plano, TX: $209,000 - $238,500 for Full-stack Engineer 5
Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers
Share your passion for staying on top of tech trends, experimenting with and learning new technologies
Lead the design, development, and deployment of complex applications for the Department of Veterans Affairs Data Modernization initiative.
Compensation
USD $195,000.00 - USD $225,000.00 /Yr.
Responsibilities
Collaborate with product owners, champions, and stakeholders to identify, document, and integrate requirements into features as part of a modern software development lifecycle.
Utilize Agile for the management and delivery of work across the modernization team.
Provide technical leadership and mentoring to mid-level engineers.
Collaborate with architects, product managers, and cross-functional teams to define technical solutions and ensure alignment with business goals.
Conduct thorough code reviews and enforce best practices in software engineering.
Requirements
Bachelor’s degree in Information Technology, Computer Science or a related field
Lead end-to-end software delivery and maintain business-critical applications as a Full Stack Engineer.
Responsibilities
Lead end-to-end software delivery: requirements, design, development, testing, deployment, and post-release support across multiple applications and services
Own platform resiliency: vulnerability management, compliance to enterprise resiliency initiatives, root-cause analysis, problem management, and continuous service improvement
Modernize and maintain applications: reduce technical debt, improve code coverage, manage dependency hygiene, and execute structured refactoring plans
Champion secure SDLC: ensure code quality, security scanning/remediation, secure configurations, and compliance in partnership with security and risk teams
Drive DevOps excellence: automate CI/CD pipelines, environment provisioning, and release management with robust rollback strategies
Lead strategy, architecture, development, and delivery of enterprise‑scale digital platforms for customer experiences and business‑critical transactions.
Responsibilities
Lead and inspire high‑performing engineering teams
Drive architecture and engineering decisions for cloud‑native, microservices‑based platforms
Accelerate technology modernization initiatives through adoption of modern engineering practices, automation, DevOps, and cloud technologies
Partner with Product, Architecture, Security, Operations, and Business teams to align technology investments with strategic priorities
Foster a culture of innovation, accountability, continuous learning, inclusion, and engineering excellence
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline
Senior Solution Architect responsible for designing scalable, secure, and integrated solutions across business, technical, and competency centers, including cloud, SAP, web, mobile, and AI technologies.
Responsibilities
Translate business requirements into clear, scalable, and secure solution architectures aligned with technology strategy
Establish connections between business areas, technical teams, and competency centers to promote alignment and collaboration
Define and guide integration architectures, including APIs, services, and data flows
Evaluate and propose solutions integrating SAP with enterprise applications
Design cloud solutions and support architecture decisions in Microsoft Azure, Google Cloud Platform, and Amazon Web Services
Senior AI & ML Engineer responsible for building, deploying, and operating enterprise AI platform capabilities for financial services and insurance.
Compensation
In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually.
Responsibilities
Build, apply, and promote adoption of platform-wide standards, reusable design patterns, and golden-path templates for AI solutions
Drive end-to-end delivery of new platform capabilities from technical discovery to production rollout
Build and operationalize the core platform service catalog including LLM gateway, prompt lifecycle management, agentic orchestration, RAG pipelines, vector stores, and model registries
Build and maintain robust CI/CD and AIOps pipelines for AI systems
Implement enterprise-grade multi-agent and single-agent workflow patterns for high-value business use cases
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent
Master’s degree in AI, Machine Learning, Data Science, or related discipline (preferred)
Nice to have: Master’s degree in AI, Machine Learning, Data Science, or related discipline
Nice to have: Consulting or enterprise delivery background
Nice to have: Experience in regulated industries (insurance, financial services, or healthcare)
Full Stack Engineer Lead Java/React- Vice President
Lead full‑stack engineering leader responsible for designing, developing, and deploying mission‑critical applications for Citi’s Investor Services division.
Compensation
$113 840,00 - $170 760,00
Responsibilities
Lead architectural design and implementation of complex, scalable, and resilient full‑stack applications
Serve as a trusted advisor and coach to mid‑level developers and analysts
Engage in hands‑on development across the entire technology stack
Provide deep expertise in advanced application programming
Design and implement sophisticated, real‑time data processing solutions using Apache Kafka
Requirements
Bachelor’s degree/University degree or equivalent experience
Collaborate with digital product managers, and deliver robust cloud-based solutions
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction
Requirements
Bachelor's Degree in Computer Science or related quantitative field
Nice to have: Master’s Degree in Computer Science or related field
Nice to have: 9+ years coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
Nice to have: 5+ years contributing to open source frameworks
Nice to have: 5+ years experience with front-end JavaScript or TypeScript frameworks
Senior Software EngineerNewGovcio LLC · Remote, US
Senior AI & ML EngineerNewCNA Insurance · Chicago, US