Lead Software Engineer

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.

What You Will Do

• 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#, TypeScript, 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 (TypeScript/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.