Position Details
About this role
Lead back-end software engineering work focused on cloud-based solutions and distributed microservices. The role architects and delivers conversational experiences powered by state-of-the-art Generative AI for Capital One customers.
Key Responsibilities
- Lead a portfolio of technology projects and a team for distributed microservices and full stack systems
- Collaborate with digital product managers to deliver robust cloud-based solutions
- Utilize Java, Python, SQL, Node, Go, Scala plus Open Source RDBMS and NoSQL databases
- Experiment with new technologies and mentor engineering community members
- Architect and launch conversational experiences powered by Generative AI
Technical Overview
You will lead development and design across microservices and full stack systems using Java, Python, SQL, and other languages, with heavy emphasis on cloud computing and container orchestration via Docker and Kubernetes on Amazon Web Services. The position also focuses on integrating Generative AI capabilities into customer-facing conversational experiences.
Ideal Candidate
The ideal candidate is a lead back-end software engineer with 4+ years of professional software engineering experience and at least 1 year of cloud computing experience on Amazon Web Services, Microsoft Azure, or Google Cloud. They have strong hands-on experience with distributed microservices and full stack systems, and can architect and launch conversational experiences powered by Generative AI.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Bachelor's Degree, At least 4 years of professional software engineering experience (internship does not apply), At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud), No immigration authorization/sponsorship for this position
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