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Full-Stack Developer

kiresult

At kiresult, we’re reshaping the procurement analytics landscape with our advanced SaaS solution, helping companies to unlock the power of data for smarter decision-making. Our platform transforms procurement data into valuable insights, providing companies with strategic advantages and cost-saving opportunities.

Tasks

Who We’re Looking For

You’re equally at home crafting robust APIs and building polished front‑end features. Python micro‑services, TypeScript components, Docker containers, and CI/CD pipelines are your daily toolkit — and you love seeing the whole puzzle fit together in production. If you thrive in a collaborative, fast‑moving environment where your ideas are used by large enterprises, this role is for you.

Role Overview

As a Full‑Stack Developer you’ll own end‑to‑end feature delivery: from database schema to REST endpoint to responsive UI and all the automated tests in between. You’ll partner closely with product, design, and data‑science teams to shape the roadmap and continuously raise the technical bar of our analytics platform.

Key Responsibilities

1. Feature Delivery

  • Design and implement new product features across the stack (FastAPI, MongoDB, React/Vue/TypeScript).
  • Develop scalable background jobs (Celery, asyncio) for data processing and enrichment.

2. Code Quality & Testing

  • Use test‑driven development with pytest, React/Vue Testing Library, and Playwright.
  • Conduct peer code reviews and uphold internal coding standards.

3. Performance & Reliability

  • Profile services, optimize queries, and introduce caching / async patterns.
  • Instrument robust logging, monitoring, and alerting (Grafana, Prometheus, Sentry).

4. DevOps & Delivery

  • Define Docker images, helm charts, and GitHub/GitLab Actions pipelines for build & deploy.
  • Contribute to our Kubernetes‑based runtime and infrastructure‑as‑code.

5. Collaboration & Leadership

  • Participate in sprint planning, architecture sessions, and customer demos.
  • Mentor junior engineers and working students; share knowledge through pair programming and internal talks.
Requirements

Must-Haves

  • 3 + years professional experience in full‑stack or back‑end engineering.
  • Strong Python 3 and JavaScript/TypeScript skills.
  • Production experience with FastAPI (or Flask/Django) and Vue (or React/Angular).
  • Solid grasp of MongoDB (or other NoSQL/SQL) schema design, aggregation pipelines, and performance tuning.
  • Comfortable with Docker, container orchestration basics, and Git‑based workflows.
  • Proven track record writing unit/integration tests and operating services in production.
  • Excellent English communication skills (German a plus).
  • Exposure to Azure or GCP/AWS equivalents.

Nice-to-Haves

  • Experience with Celery, asyncio, or other task‑queue frameworks.
  • Familiarity with Kubernetes, Helm, and Terraform.
  • Hands‑on with REST, WebSockets, or server‑sent events.
  • Knowledge of data‑visualization libraries (D3, Apache ECharts, Recharts) and modern UI frameworks (MUI, Tailwind).
Benefits

Why Join Us?

  • Real Impact – Your code powers decisions on billions in procurement spend.
  • Ownership & Growth – Small, senior team where every engineer shape architecture and product direction.
  • Learning Culture – Personal development budget, conference tickets, and mentorship‑pairing.
  • Flexible Work – Remote‑first processes and core hours.

Ready to push the boundaries of procurement analytics?

Apply with your CV, GitHub/portfolio links, and a short note on a project you’re proud of. We review every application personally and aim to reply within a week.

Join kiresult and build the technology that redefines how enterprises see their data!

About the company

kiresult reichert Spend-Daten automatisch an und macht sie analysierbar. Vorgefertigte Analysen und Kennzahlen stellen alle Information in Echtzeit zur Verfügung. Das schafft volle Kostenkontrolle und bringt Insights für den strategischen Einkauf.

Unser Ziel ist es, jedem Unternehmen die Möglichkeit zu geben, strategisch zu handeln und das Beste aus den eigenen Daten herauszuholen. Und das alles passiert auf intuitive Weise ohne Implementierungsaufwand.

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