Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )
$230k - $262k • McLean, VA • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
We are seeking a highly skilled and visionary Full-Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge open-source frameworks. As a Capital One Manager-level IC, you’ll be on the forefront of driving a major transformation across the enterprise. The Marketing and Messaging team, supported by Enterprise Platforms Technology (EPTech), drives hyper-personalized consumer experiences through enterprise scale, governance, and architectural practices. You will lead a portfolio of diverse technology projects, architect and scale large-scale, cloud-native systems, and innovate with AI/ML technologies to power hyper-personalized user experiences.
Responsibilities
- Lead technology projects and direct a team of developers in distributed microservices and full-stack systems.
- Drive end-to-end design and implementation of large-scale, cloud-native systems with high reliability, performance, and data design requirements.
- Partner with architects and product leaders to shape long-term system architecture, platform roadmaps, and shared services strategies.
- Direct the design, development, testing, and implementation of intelligent technical solutions using emerging AI technologies, Large Language Models (LLMs), and cloud infrastructure.
- Build robust, cloud-based solutions that drive high-impact experiences.
- Leverage a diverse technical stack including Java, JavaScript, TypeScript, Python, Go, Scala, and Node.js, combined with Open Source RDBMS, NoSQL databases, container orchestration (Docker, Kubernetes), and modern AWS cloud ecosystems.
- Mentor members of the engineering community, conduct rigorous code reviews, participate in tech communities, and champion modern engineering practices.
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of experience in software engineering.
- At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.
- 9+ years of experience coding with two or more of the following: Go, Java, JavaScript, TypeScript, Python, Rust, C#, Scala, or SQL.
- 7+ years of experience in at least one of the following: Java, JavaScript, Python, Go, TypeScript, or SQL.
- 5+ years of experience contributing to open-source frameworks.
- 5+ years of experience with front-end JavaScript or TypeScript frameworks.
- 5+ years of experience creating synchronous and asynchronous APIs.
- 4+ years of experience leading technical direction and executing large-scale, cross-functional projects across multiple engineering teams.
- 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
- 4+ years of experience with database and database management systems.
- 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket).
- 4+ years of experience troubleshooting technical issues within cloud environments.
- 3+ years of experience mentoring senior engineers and driving professional development within technical teams.
- 2+ years of experience in Agile practices.
- 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems.
- 1+ year of experience working with big data ETL using Dataflow, AWS Glue, or Databricks.
- 1+ year of experience utilizing Generative AI coding tools, IDE copilots, and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity.
- 1+ year of experience in prompt engineering or developing features enhanced by Artificial Intelligence.
- 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies.
- 1+ year of experience establishing and enforcing coding standards and design patterns across teams.
- 1+ year of experience implementing observability and reliability practices at scale.
Benefits
- Visa sponsorship available