Senior Software Development Engineer - Shared Platforms

Capital One Capital One · Banking · Nottingham, United Kingdom

Senior Software Development Engineer role focused on building and enhancing software features for the UK API Gateway within Capital One's shared platforms team. The role involves end-to-end technical responsibility, driving engineering best practices, and simplifying the SDLC for other engineers. Requires strong programming skills in modern languages like Java, experience with APIs, cloud platforms (AWS), CI/CD, observability, and containerization.

What you'd actually do

  1. Work in a cross-functional engineering team to design, enable and develop software features that support the UK API Gateway
  2. Work with the Engineering Manager, stakeholders and the Enterprise to understand the product direction and translate those requirements into technical solutions
  3. Take end-to-end responsibility for the technical design, implementation, and operational considerations of specific deliverables
  4. Drive engineering best practices (e.g. Operational Excellence, Security, Quality, etc…) and set standards, across your team and wider engineering teams
  5. Innovate and identify opportunities to simplify and remove friction for engineers throughout the SDLC

Skills

Required

  • Java
  • RESTful architecture
  • AWS Console
  • Secrets Manager
  • CI/CD tools
  • Jenkins
  • observability tools
  • containerisation
  • Kubernetes
  • infrastructure as code
  • Agile/Scrum/Kanban methodologies

Nice to have

  • Lua
  • Go
  • API plugins
  • AI tools/prompting

What the JD emphasized

  • Extensive, demonstrable knowledge of building software that is secure, testable, and performs at scale
  • Exceptional programming skills using modern languages (e.g. Java)
  • Experience working with APIs over HTTP using RESTful architecture
  • Proficiency in cloud-based projects, particularly with AWS Console and Secrets Manager
  • Experience with CI/CD tools (e.g. Jenkins), secrets management tools, Jira
  • Familiarity with observability tools (e.g. using metrics, traces, logs to debug/investigate)
  • Familiarity with containerisation (e.g. AWS machine images, Kubernetes)
  • An understanding of infrastructure as code