Backend Engineer - Fintech

🔷 About StrategyBridge Who we are We're setting new standards in corporate finance. With a focused team of 30 — one in four of us a former founder — we combine deep expertise in finance, data science and AI to build THE platform for deal & advisory teams, strategy departments, auditors and banks. We're one of the fastest-growing startups in the DACH-region and now scaling internationally. Our ambition is clear: to set the global standard. Our Culture Ownership. You own your topics end to end, from idea to shipped.Strong opinions, loosely held. We argue hard about the right solution, then commit together.Simple beats clever. The simplest thing that solves the problem wins. We'd rather ship clear code than impressive code.Leave it better than you found it. Speed is a priority, but we don't trade it for technical debt that kills future velocity. We build simple, modular systems that are easy for the next person (or future you) to understand.Mistakes are a gift. We make mistakes and learn from them. The one thing we avoid is making the same one twice.Serious about the work, not about ourselves. We take our goals seriously, ourselves less so. 🔷 The role: Backend Engineer Small team, high bar. You'll build the backend behind analysis work that currently takes a corporate finance team days — data pipelines, APIs and the agentic systems on top of them. You'll take features from idea to production with the motivation and ownership of a founder. We're looking for someone with at least 2 years of professional experience. Your responsibilities will include: Design and ship end-to-end features used by thousands of financial professionalsBuild backend services in Python and design clean, efficient APIs and data flowsOwn your services in production — deployment, monitoring, and knowing first when something breaksBuild and maintain integrations with third-party platforms and internal servicesWork across Elasticsearch, Qdrant and PostgreSQL, picking the right store for each problemDevelop agentic workflows and AI-powered pipelinesContribute to critical software design and architecture decisions around scalability and reliabilityDecide when an LLM is the right tool and when deterministic code is the better answerCollaborate directly with clients and internal teams to understand needs and turn them into features 🔷 Qualifications - to be successful in this role, you will need: Must-haves We expect the motivation and ownership of a founder. You own problems end-to-end and care more about the user outcome than your ticket description2+ years of professional experience with proven track-record designing & developing scalable and reliable softwareProficiency in Python and strong API design skills (REST, and ideally familiarity with protocol-level tooling)You ship and operate your own services — Docker, Kubernetes, CI/CD, and the observability to debug productionYou've built with LLMs in production — and know the difference between a demo and something users can actually rely onYou use AI/LLM tools to move faster, but you have the technical depth to audit their output and maintain high code quality. No "AI slop"Familiarity with agentic orchestration frameworks (LangChain, LangGraph, CrewAI, or similar)Experience handling complex, data-heavy backends. You know how to keep queries and pipelines fast when the data volume growsHands-on experience with PostgreSQL and with search or vector stores (Elasticsearch, Qdrant or similar)Strong communication and structured problem-solving skillsDegree in CS, Math, Physics, or equivalent practical experience Nice-to-haves Experience in fintech or other data-intensive, regulated domainsComfortable with TypeScript and a solid understanding of frontend concepts (React/Next.js)Founding-experience - entrepreneurial drive, resourcefulness, and comfort with ambiguityExperience with big data technologies (e.g. Apache Spark) & data orchestration tools (e.g. Dagster) 🔷 What we offer Responsibility from day one: flat hierarchies, fast decisions, and the room to actually shape the product.Upside: competitive compensation - base + bonus + VSOP - you share in the upside, not just the workload.Learning curve: one of the steepest you’ll find in Germany. Not an empty claim — ask the team.People: Build with experts from Big Tech, Silicon Valley, Investment Banking, and Hedge Funds.Setup: Munich, hybrid. Modern office, EGYM Wellpass, team events, tax-free benefits.Relocation: company apartment in Munich available on request. Language English is our company language; German is nice to have. Hiring process Intro chat → Technical deep dive → Case Study & Team interviews → Offer. We value your time & move fast. Equal Opportunity We’re an equal-opportunity employer. This role is open to all genders (m/f/x). We value diverse backgrounds and perspectives and welcome applications from all qualified candidates. How to apply Apply via LinkedIn with your CV, GitHub/portfolio, and a short note about a project you’re proud of