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Senior Software Engineer (m/f/d)

Startup Berlin Group

Potsdam · On-site Full-time Senior 1mo ago

About the role

Who We Are

Resilens is dedicated to solving one of the urgent challenges of our time: enabling communities and cities to adapt to a changing climate. Not everything can be prevented - but effective adaptation reduces losses and protects people where it matters most.

Our clients are city leaders and private operators who will use our climate adaptation platform to move from uncertainty to evidence‑based action. We’re a data‑first company combining domain expertise with modern technology. We turn climate risk into ranked measures and fundable priorities - with clear numbers on risk, cost, and expected impact. We’re looking for hands‑on builders who want to join us in making adaptation happen.

How we work:

We believe regular in‑person collaboration matters in an early‑stage specialist team. We work in a hybrid setup with regular in‑person collaboration. This role is based in Potsdam only. We typically expect 50%+ in‑office presence, including 1–2 fixed team days per week.

What you’ll do

This role exists to turn fast prototype progress into durable product delivery: strong engineering quality, clear priorities, and rapid iteration with real users.

  • You work directly with the founding team to ship our launch product and evolve it into a reliable production offering.
  • You will build and improve a customer‑facing web application and the supporting data workflows needed for onboarding, analysis, and reporting.
  • You will own hard product‑engineering problems end‑to‑end, for example:
    • Turning messy real‑world datasets into reliable, reviewable, customer‑facing outputs.
    • Making it easy to trace every number we show or export back to its source and calculation, so customers can understand, trust, and verify the results.
    • Making maps and analytics fast and dependable for data‑heavy workflows.
    • Shipping reporting and export flows that are reproducible and easy to operate.
  • You shape a responsible AI‑augmented engineering practice by using modern tools for speed while owning correctness, tests, and maintainability.

Our 12‑month outcomes include:

  • The launch product is live and delivering value to early customers.
  • Core product workflows are reliable and observable, with clear signals for uptime, latency, and errors across key user journeys.
  • Data quality, traceability, and reporting accuracy improve to support customer trust.
  • Engineering velocity stays high while code quality and maintainability improve.
  • The team has clear technical foundations for the next phase of product growth.

What we’re looking for

Must haves

  • You have valid EU work authorization.
  • 6+ years of software engineering experience building and shipping production web products.
  • Strong full‑stack capability: modern frontend development, backend services, and SQL‑based data modeling.
  • Experience designing data pipelines and application workflows with strong quality controls and auditability.
  • Ability to make pragmatic technical trade‑offs under tight timelines.
  • Comfortable working directly with founders in a fast‑moving, early‑stage environment.
  • Strong communication and collaboration across product, engineering, and domain experts.
  • You are comfortable working across a modern web stack and data‑heavy product workflows.
  • You enjoy working with product, research, and commercial colleagues and value their views alongside your technical expertise.

Nice to haves

  • Experience with geospatial or climate‑related products, analytics‑heavy applications, or startup 0‑to‑1 product builds.
  • Experience using AI tools to move faster without compromising code quality and long‑term maintainability.
  • Experience with our current stack which currently includes Python, React, Postgre SQL and PostGIS, Typescript, DuckDB, Marimo/Jupyter notebooks.

Our operating principles

  • English is our working language. German is a plus.
  • We care about climate adaptation and tangible, on‑the‑ground impact.
  • We don’t wait for perfect plans: We define outcomes and flag risks early.
  • We learn fast and turn that learning into real outputs.
  • We separate our ego from our ideas and…

Skills

DuckDBJupyterPostgreSQLPostGISPythonReactTypeScript

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