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Full-Stack Engineer (Python) (m/f/d)

Pinnipedia Technologies GmbH

Berlin

Hybrid

Vertraulich

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A Berlin-based cloud platform startup is hiring a Full-Stack Engineer (Python) to work on their SaaS product. You'll be responsible for backend services, API design, and collaboration in an agile team environment. The ideal candidate has over 4 years of experience with Python, strong SQL skills, and is comfortable with Docker. This full-time position offers a competitive salary ranging from €60,000 to €85,000, along with flexible work options and a focus on learning and development.

Leistungen

Flexible scheduling
Training and certification budget
Small, focused team

Qualifikationen

  • 4+ years of experience building production web backends/APIs in Python.
  • Strong knowledge of SQL/PostgreSQL and experience in testing with pytest.
  • Familiarity with CI/CD processes and code reviews.
  • Comfortable using Docker and understanding of cloud deployment.

Aufgaben

  • Design and implement Python services and APIs.
  • Model data and write performant SQL for database operations.
  • Build and extend a user interface for administrative workflows.
  • Containerize applications and automate CI/CD processes.
  • Estimate and deliver changes while participating in agile rituals.

Kenntnisse

Python
SQL/PostgreSQL
Docker
CI/CD
pytest
English
German

Tools

FastAPI
Django
React
Vue
Kubernetes
Terraform
Jobbeschreibung

Pinnipedia is a new Berlin startup building a cloud platform that automates and assists the creation of audit-ready IT-security concepts (e.g., BSI-Grundschutz, C5). We’re IGP-funded (2025/26) and co-develop with FU Berlin and pilot users from industry and security consulting.

We’re hiring a Full-Stack Engineer (Python) to build our multi-tenant SaaS: secure services & APIs, a pragmatic web app, auth/RBAC, audit logging, and CI/CD with quality gates. You’ll own features end-to-end (design → code → tests → deploy → observe) and work closely with our Product Owner and AI Engineer.

Tasks

Backend & APIs (~60%)

  • Design and implement Python services (FastAPI/Django), REST/JSON (OpenAPI), background jobs.
  • Model data and write performant SQL (PostgreSQL); maintain migrations.
  • Add tests (pytest), logging/metrics, and sensible error handling.

Frontend & integration (~15–20%)

  • Build/extend a modest UI (React/Vue or server-rendered) for admin workflows.
  • Integrate authentication/authorization (OIDC/OAuth2), file handling, and external APIs.

Platform, quality & security (~15–20%)

  • Containerise (Docker), automate CI/CD (GitHub Actions), review PRs, enforce code quality.
  • Apply privacy/security by design (RBAC, audit trails, config secrets, least privilege).

Collaboration (~10%)

  • Work from a clear backlog; estimate, deliver, and document changes; participate in sprint rituals.
Requirements

Must-have

  • 4+ years Python building production web backends/APIs.
  • Strong SQL/PostgreSQL; testing with pytest; CI/CD and code reviews.
  • Comfort with containers (Docker) and cloud deployment basics.
  • Product mindset, clean code, and good documentation; English required (German nice-to-have).

Nice-to-have

  • React/Vue or server-rendered UIs; OAuth/OIDC; event-driven patterns.
  • Kubernetes/Terraform; observability (Prometheus/Grafana); security/audit logging.
Benefits

Hybrid, full-time with flexible scheduling; occasional on-site days near Berlin/Brandenburg (Ketzin/Havel).

Competitive salary: 60.000–85.000 € base (higher possible for exceptional seniors).

Small, focused team; direct collaboration with the Product Owner, AI Engineer, and partners.

Modern tooling, ownership, and a learning budget for relevant training/certs.

Impact: help SMEs meet rising security requirements with less friction.

Apply on JOIN with your CV (PDF) and a short note (max 200 words) on how you’d structure service boundaries, logging, and metrics for a new FastAPI service.

Process: 20-min intro → 90-min practical (coding + system design) → 45-min team chat → references. We review applications within 5 business days.

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