Posted:13 hours ago
• Design, build, and maintain Python (Flask/FastAPI) services and REST APIs consumed by our front ends and partners.
• Write and optimise advanced SQL — multi-table joins, subqueries, CTEs, and window functions — without leaning on an ORM to do the thinking for you.
• Model and evolve relational schemas, design indexes, and tune slow queries using EXPLAIN / EXPLAIN ANALYZE.
• Plan and run schema migrations safely against live data.
• Handle authentication, authorisation, and the security of the endpoints you expose.
• Build background jobs, queues, and scheduled work, and make them safe to retry.
• Write meaningful unit and integration tests for the code and modules you ship.
• Deploy, monitor, and troubleshoot services on AWS, and improve build and release pipelines.
• Review peers' code, uphold quality standards, and mentor less experienced developers. What
• 5+ years of relevant, hands-on back-end development experience.
• Python — solid backend experience building REST APIs (Flask or FastAPI), not just scripting.
• SQL — ability to write advanced queries from scratch and reason about how they execute; PostgreSQL and/or MySQL in production.
• Schema design, indexing, and query optimisation on real data volumes.
• AWS — practical experience deploying and running workloads (e.g. ECS/Fargate, Lambda, RDS).
• API security — authentication and authorisation (JWT, OAuth2) and common OWASP risks.
• Testing — able to write proper unit and integration tests with pytest.
• Comfort with Git workflows, Docker, and CI/CD pipelines.
• You work only in Java and have no Python experience or familiarity.
• You rely entirely on ORMs and cannot write raw SQL queries yourself.
• Your Python is scripting and automation only — you have never built and run a production service. • You have never worked with AWS. (Experience on GCP or Azure is a plus, but AWS experience is required.)
• You have never written tests for your own code.
• You are looking for a role that is mostly front-end work.
• Async Python (asyncio) and an understanding of concurrency trade-offs.
• Queues and background processing — Celery, SQS, or Kafka.
• Caching strategies with Redis, and knowing when not to cache.
• Infrastructure as code (Terraform or AWS CDK).
• Observability — structured logging, metrics, tracing, and useful alerts.
• NoSQL stores (MongoDB, DynamoDB) alongside relational databases.
• Enough front-end familiarity (Angular or React) to debug an integration end to end.
Free courses, interview questions and practice for each skill.
Full Time
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