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[No German required] Part-Time Software Engineer Full-Stack with AI (mfd)

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[No German required] Part-Time Software Engineer Full-Stack with AI (mfd)
Excellence Cloud
München
Ibrido
EUR 40.000 - 60.000
Part-time
23 giorni fa

Descrizione del lavoro

A cloud-based technology firm in Munich seeks a part-time engineer skilled in full-stack development. You will design APIs, manage data, and improve CI/CD processes, while also contributing to AI features. Ideal candidates have strong software engineering fundamentals and proficiency in Python, SQL, and modern JS frameworks. The role offers competitive compensation and a flexible, hybrid working environment.

Servizi

Career support for courses/books
Dedicated budget for personal development
Flexible working hours

Competenze

  • Strong Git proficiency including branching, rebasing, and PR hygiene.
  • Solid backend programming experience in Python, ideally with Django.
  • Familiar with SQL schema design, joins, indexing and query debugging.

Mansioni

  • Design and implement services/APIs in Python; enhance performance and security.
  • Model schemas and write performant SQL queries; debug data issues.
  • Contribute to CI/CD improvements and containerize services.

Conoscenze

Strong software engineering fundamentals and Git proficiency
Solid experience with at least one backend language (Python preferred)
Practical SQL skills
Working familiarity with CI/CD and cloud concepts
Familiarity with modern JS frameworks (React a plus)
Excellent English (written & spoken)

Formazione

Bachelor’s or Master’s degree in CS/SE or related field

Strumenti

Python/Django
GitHub / GitLab CI
Terraform
GCP
Docker
Kubernetes
JS/TS
Descrizione del lavoro
Your Responsibilities
  • Backend: Design and implement services/APIs (Python; Django a plus). Own performance, security basics and error handling.
  • Data & SQL: Model schemas, write performant queries, handle migrations and debug data issues.
  • DevOps / Cloud: Improve CI/CD; containerize services; contribute to infra as code (Terraform); work with GCP (incl. basic Kubernetes operations).
  • AI / ML (Plus): Prototype RAG pipelines, evaluate embedding/vector store choices and integrate agentic workflows.
  • Frontend: Deliver product UIs with JS/TS (React a plus) apply state management patterns (Redux Toolkit) and use design frameworks (Material UI / Ant Design).
  • Quality & Collaboration: Add tests (unit / integration / e2e), perform code reviews, write clear docs and communicate crisply.
Your Profile
Must‑Have Qualifications
  • Strong software engineering fundamentals and Git proficiency (branching, rebasing, PR hygiene).
  • Solid experience with at least one backend language (Python preferred; Django a plus).
  • Practical SQL skills (schema design, joins, indexing, query debugging).
  • Working familiarity with CI/CD and cloud concepts; exposure to Terraform, GCP or Kubernetes is valued.
  • Comfortable contributing to frontend codebases; experience with modern JS frameworks (React a plus).
  • Bachelor’s or Master’s degree (completed or in progress) in CS/SE or related field.
  • Excellent English (written & spoken).
Nice to Have
  • TypeScript in production; API design (REST / GraphQL).
  • Observability (logs, metrics, traces) and security best practices (OWASP).
  • AI/ML familiarity: vector databases, embeddings, RAG, lightweight agents/tool‑use.
Professional Traits
  • Ownership: clarifies goals, proposes options and drives work to completion.
  • Bias to impact: balances ideal solutions with delivery speed and maintainability.
  • Communication: concise async updates, thoughtful PRs, transparent trade‑offs.
  • Quality discipline: tests where they matter, automates repeated tasks, documents decisions.
  • Collaboration: respectful partner to product / design / ops; low‑ego, high‑initiative.
  • Reliability: predictable availability and honest estimates.
  • Learning mindset: curious about new tools but pragmatic in adopting them.
  • Ethics & security: mindful of data privacy, licences and responsible AI usage.
Role Summary

We’re hiring a hands‑on engineer who can contribute across the stack: build reliable backend services, ship practical UIs, own SQL/data work, automate CI/CD and help us explore AI features (RAG/agentic patterns).

Practicals
  • Hours: 20‑30 hrs / week, flexible within EU business hours.
  • Preferred Working Style: Face‑to‑face hybrid (still negotiable).
  • Compensation: Competitive; commensurate with experience and time commitment.
  • Tooling: GitHub / GitLab CI (GitHub Actions), Docker, Terraform, GCP, Kubernetes, Python/Django, JS/TS (React as needed).
Learning Opportunities
  • AI in production: Prototype and ship RAG pipelines end‑to‑end, compare embeddings/vector DBs, measure retrieval quality and integrate agentic/tool‑use workflows.
  • System design at small scale with big impact: Own services from API contract to deployment, practice pragmatic design, performance tuning, and secure‑by‑default patterns.
  • Cloud & platform skills: Hands‑on with Terraform, GCP, Kubernetes, Docker, GitHub Actions; learn infra‑as‑code, basic K8s operations and CI/CD automation.
  • Observability & reliability: Instrument logs/metrics/traces, set SLOs, use dashboards/alerts for root‑cause analysis and continuous improvement.
  • Data engineering fundamentals: Model relational schemas, optimize queries and indexes, manage migrations safely, learn data quality/debugging techniques.
  • Modern frontend craft: Build React/TypeScript UIs with Redux Toolkit and Material UI/Ant Design focusing on state management, accessibility and component design.
  • Quality discipline: Write unit/integration/e2e tests with a risk‑based mindset; practice test automation and CI gating.
  • Security & privacy basics: Apply OWASP practices, handle secrets, reason about data access, licensing and responsible AI usage.
  • Ownership & leadership reps: Drive small projects, write ADRs, lead design reviews/PRs and mentor peers as you grow.
  • Career support: Dedicated budget for courses/books, time for spikes/prototypes and personalized guidance to deepen expertise or broaden across the stack.
Employment Type

Part‑Time

Experience

Years

Vacancy

1

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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