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

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.

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).

• Bachelors or Masters 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.

What Great Looks Like (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 licenses and responsible AI usage.

Role Summary

Were 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: 2030/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 (e.g. GitHub Actions) Docker Terraform GCP Kubernetes Python/Django JS/TS (React as needed).

Why Us

• Real impact not ticket-churn. Youll ship features end-to-endscoping building testing deployingand see your work used by real customers quickly.

• Breadth by design. Backend data/SQL CI/CD cloud a touch of frontend and space to explore AI (RAG agentic patterns). We wont pigeonhole you.

• Pragmatic engineering culture. We value clean code clear interfaces tests where they matter and automation over toilwithout gold-plating.

• Modern stack. Python/Django SQL JS/TS with React as needed GitHub Actions CI Docker Terraform GCP Kubernetes and observability from day one.

• Autonomy with support. Youll own projects make technical decisions and get fast feedback from peers who care about code reviews and documentation.

• Flexible part-time fit. 20-30 hrs/week EU time zones async-friendly. We plan around focus timenot constant meetings.

• Learning & growth. Budget for courses/books time for spikes/prototypes and opportunities to lead initiatives as you grow.

• Product-first mindset. Engineers collaborate directly with design and product; youll influence roadmaps not just implement them.

• Transparent processes. Clear goals written decision records (ADRs) and straightforward hiring/performance feedback.

• Inclusive & respectful. Low-ego teammates and a commitment to diversity and equal opportunity.

• Fair compensation. Competitive hourly/contract rates with adjustments for expertise and added responsibility.

• If you want a part-time role where you can stretch across the stack make measurable impact and keep leveling upthis is it.

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 into real features.

• System design at small scale with big impact: Own services from API contract to deployment practicing pragmatic design performance tuning and secure-by-default patterns.

• Cloud & platform skills: Get hands-on with Terraform GCP Kubernetes Docker and GitHub Actionslearning infra-as-code basic K8s operations and CI/CD automation.

• Observability & reliability: Instrument logs/metrics/traces set SLOs and use dashboards/alerts to drive root-cause analysis and continuous improvement.

• Data engineering fundamentals: Model relational schemas optimize queries and indexes manage migrations safely and 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 to keep releases reliable.

• Security & privacy basics: Apply OWASP practices handle secrets and 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 growwithout needing a formal title.

• Career support: Dedicated budget for courses/books time for spikes/prototypes and personalized guidance to deepen expertise or broaden across the stack.