Senior Lead Software Engineer - Backend Engineering - Java/Kotlin
Senior lead backend engineer on JPMorganChase's Chase UK Accelerator, building customer-facing banking products in Java/Kotlin on the JVM. Day to day: domain modeling, scalable cloud-native architecture, secure zero-downtime releases, performance and reliability work, plus driving adoption of AI-assisted engineering practices across squads.
- Compensation
- Not disclosed
- Location
- LONDON, LONDON, United Kingdom
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Full time
- Experience
- Not specified
- Category
- Backend
- Posted
Skills
Must have
- Formal training or certification in problem-solving concepts with proficient applied experience
- Identifies problems, proposes solutions, and suggests what to focus on
- Willing to contribute even outside their area of speciality
- Desire to teach others and share knowledge; team player, not hero developer
- Adapts quickly to changing priorities; learns and unlearns technologies quickly
- Long-term thinking; chooses technologies based on end goals
- High standards for personal and team performance
- Strong ethics; earns and maintains trust
- Acts in the company's best interest
- Takes initiative with a pragmatic, iterative approach to long-term goals
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted development tools (coding, code review, test acceleration, troubleshooting)
- Ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, incl. data sensitivity and secure handling of inputs/outputs
- Experience coaching senior engineers/leads on compliant AI usage patterns and controls
- Proficiency in JVM-based languages (Java/Kotlin)
- Experience building cloud-native, multi-cloud solutions
Full description
Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment.
As a Senior Lead Software Engineer at JPMorganChase within the Accelerator business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.
While we’re looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world.
Job responsibilities:
- Use domain modeling techniques to allow us to build best in class business products.
- Structure software so that it is easy to understand, test and evolve.
- Build solutions that avoid single points of failure, using scalable architectural patterns.
- Develop secure code so that our customers and ourselves are protected from malicious actors.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Make sure our releases happen with zero downtime for our end-users.
- See that our data is written and read in a way that's optimized for our needs.
- Keep an eye on performance, making sure we use the right approach to identify and solve problems.
- Ensure our systems are reliable and easy to operate.
- Keep us up to date by continuously updating our technologies and patterns.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.