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

Excellence Cloud; München; Hybrid; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

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.

Leistungen

Career support for courses/books

Dedicated budget for personal development

Flexible working hours

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

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)

Ausbildung

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

Tools

Python/Django

GitHub / GitLab CI

Terraform

GCP

Docker

Kubernetes

JS/TS

Jobbeschreibung

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