Platform Engineer (m​/f​/d

Platform Engineer (m/f/d) — Platform Operations & Onboarding

Frankfurt, Germany
· On-site

We are Exaloan, a Fin Tech based in Frankfurt, Germany, specializing in AI-based credit analytics. We provide professionally managed access to diversified portfolios of loans originated by Fin Tech and alternative lenders across Specialty Finance, SME and Consumer sectors. We operate a global digital lending marketplace at the intersection of asset management, software development, machine learning and generative AI, with the ambition to drive innovation in one of the fastest-growing sectors in finance.

And we are unstoppable to reach our goals.

This is a full-time, on-site role based in our office in the heart of Frankfurt. You must already live within commuting distance of Frankfurt, or be genuinely ready to relocate here before you start, and you must be authorized to work in Germany. We work together in the office; this is not a remote or majority-remote position. Please apply only if an on-site Frankfurt role is what you are looking for.

We are looking for a Platform Engineer to roll out, operate, and scale the core infrastructure that powers our credit-analytics platform. The work is to run our data and scoring stack well, keep it healthy, and extend it as we onboard more origination platforms to our marketplace. This is a role for a disciplined operator who takes pride in a system that runs reliably and gets better without regressing: someone who improves what exists, respects the design and the guardrails around it, and makes each new platform onboarding smoother and more automated than the last.

You are a strong Python engineer, comfortable across data engineering and AWS, and fluent in the modern AI-assisted development workflow — one capable person, amplified by good tools, doing what used to take a small team.

You will collaborate directly with founding partners who are seasoned experts across the domains integral to our work: capital markets, portfolio management, banking law, software engineering, machine learning and generative AI.

From your first day, you will help roll out and operate our core platform — the standardized loan-data model, the scoring pipeline, and the MLOps serving layer — and own the onboarding of new lending platforms onto it.

Python, FastAPI, Celery, ArangoDB, AWS (ECS, Lambda, S3, Cloud Watch), AWS CDK, Docker, pandas/Num Py, REST APIs, Bitbucket Pipelines. We build in an AI-assisted engineering environment and expect you to be fluent in it.

• Roll out and operate the core platform. Take our data-standardization, scoring, and model-serving components from integration into steady operation — deployed, monitored, and reliable — and keep them healthy as usage grows.
• Own partner onboarding end to end. Take a new lender’s export and carry it through ingestion, mapping to our standardized loan model, and into a live scoring instance — and improve that path with each platform you add.
• Maintain and extend without regressing. Improve the pipeline, the mapping layer, and the tooling around them while preserving the quality bar already built in. You work within — and help strengthen — the governance and technical guardrails (tests, coverage floors, a review gate, controlled change) that keep the platform from degrading as it scales.
• Turn manual steps into automated systems. Replace hand-run reporting and one-off scripts with tooling that makes onboarding and operation a repeatable process rather than a bespoke effort each time.
• Run the infrastructure it lives on — AWS provisioning, deployment, monitoring, logging, alerting, and cost control for data-processing and serving workloads.
• Own data quality: validation, reconciliation, and error handling throughout the pipeline, so that what reaches the scoring models and clients is trustworthy.
• Work closely with the data science and business development teams to ensure the platform meets modeling and reporting requirements.

• At least 2 years of professional software-development experience in a relevant engineering role.
• Strong…