Lead Software Engineer
Job in
City Of London, Central London, Greater London, England, UK
Listed on 2026-09-18
Listing for:
Worky
Full Time
position Listed on 2026-09-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Full Stack Developer
Job Description & How to Apply Below
Lead Software Engineer - AI-Assisted Product Engineering About the Role
Breaking Wave is an internal fintech incubator for Deutsche Bank that blends startup speed with enterprise scale. As a Software Engineer, you will join a high performing cross-functional team, where you will be accountable to the Head of Technology and Product. You are a hands-on expert who uses AI as a force multiplier for your existing skills and experience and enjoy delivering working SaaS products.
You turn bank ideas into reality using a design-driven MVP process, guiding AI workflows to ship high-impact products fast.
- Amplify Output Through AI:
- Use advanced AI coding tools (e.g., Cursor, Claude Code) to multiply your daily productivity across the software lifecycle.
- Break complex tasks into clear specs, directing AI agents to handle heavy code generation while protecting system architecture.
- Write clean, maintainable code using C#, Type Script, and modern cloud platforms.
- Shape Product and Technical Strategy:
- Work with bank stakeholders to understand challenges, refine products, and turn business needs into technical solutions.
- Help manage the backlog, prioritising features based on user needs and lean delivery.
- Drive practical use of new technologies and creative solutions to cut friction.
- Maintain Quality and Reliability:
- Apply careful human oversight to AI-generated code, checking for performance, security, and consistency.
- Champion automated testing and tooling standards that help small teams punch above their weight.
- Own production processes, including CI/CD pipelines and deployments, ensuring a safe space to learn and ship.
- Strong hands-on software engineering experience, combining deep technical foundations with startup agility.
- Practical expertise in AI-assisted software engineering, treating AI as a direct force multiplier.
- Strong background in modern cloud architectures, serverless, and microservices.
- Proficiency in C# and modern web stacks (Type Script/Node.js).
- Experience building relationships with product owners to translate vague business needs into real tech execution.
- Comfortable with ambiguity and fast-paced, lean engineering.
- Great communication skills and a collaborative mindset.
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