Middle Python Engineer

We are currently looking for a Middle Python Engineer for our flagship project, Happy Color.

Key Responsibilities:

Data/Workflow:

• Develop and maintain DAGs in Airflow: sensors, custom operators, retries/SLAs, dependent pipelines.
• Integrate with external APIs/databases, ensure reliable error handling, idempotency, scheduling, and manage secrets.

Automation:

• Create scripts and services in Python (CLI, bots, utilities) to automate manual processes within teams.
• Develop small internal services/adapters (FastAPI/Flask).

Observability and Stability:

• Implement metrics/logs/traces using Prometheus/OpenTelemetry, Sentry; set up alerts and SLO/SLI.
• Create dashboards in Grafana: data sources, variables, alerts, business and technical metrics.
• Perform synthetic checks (health/e2e) and establish regression gates in CI.
  AI and Prompts:
• Design and iterate prompts (OpenAI), manage versions, and conduct experiments.
• Develop small pipelines/chains (LangChain/custom wrappers), handle retries, caching, and control costs and quality.
• Implement basic guardrails: validations, restrictions, data privacy.
  Quality and Processes:
• Manage CI/CD using GitLab CI, handle artifacts, environment configurations, and test infrastructure.
• Maintain documentation, manage incident workflows, and conduct postmortems.

Requirements:

• 2+ years of commercial experience as a Python engineer or QA Automation.
• Proficient in Python: standard library, requests/asyncio, type hinting, packaging (poetry/pip), pytest.
• 1+ year of experience with Airflow: DAGs, operators/sensors, dependencies, retries, variables/connections, task monitoring.
• SQL proficiency in writing efficient queries; experience with PostgreSQL/MySQL; basic knowledge of Redis is a plus.
• Monitoring experience: Grafana (dashboards/variables/alerts), Prometheus/Alertmanager, Sentry.
• Process automation: integrating with HTTP APIs, cron/orchestration, small utilities and bots.
• Basic skills with AI providers: OpenAI/Anthropic, prompt engineering, quality/cost assessment.
• Engineering practices: Docker, Git, code reviews, clean code, documentation.
• Communication skills: ability to gather requirements, decompose tasks, and explain solutions.

Preferred Qualifications:

• Experience with FastAPI.
• Knowledge of OpenTelemetry, Loki, Grafana Alerting/Contact Points/Annotations.
• QA expertise: Playwright for synthetic testing, contract tests (OpenAPI/Pact).
• Load testing experience: k6.
• Familiarity with cloud platforms: AWS, basic Helm.
• Experience with feature flags.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with a talented and passionate team in a creative and dynamic environment.
• Flexible working hours and remote/office work options.
• Career growth and professional development opportunities.
• A fun and inclusive company culture that celebrates diversity and creativity.