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. 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. Skills & Qualifications We Need 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.
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