Senior Python/Django Engineer — Core Platform

What you’ll do

• Build core features end-to-end: Django/DRF services, clean APIs, solid data models, and reliable background jobs.
• Make it fast & reliable: profile hot paths, kill N+1s, tune Postgres queries/indexes, add caching/queues, and improve p95/p99.
• Raise quality: pragmatic tests (unit/contract), clear docs, feature flags, safe rollouts, and strong code reviews.
• Own operability: metrics/logging/tracing, SLOs/alerts, runbooks, and cost-aware decisions on AWS.
• Be AI-native: use AI assistants for prototyping, tests, refactors, docs, and research—augmenting (not replacing) engineering judgment.
• Collaborate well: work async, give/receive feedback, and ship iteratively with product/design.

Tech you’ll touch

• Core: Python 3.x, Django/DRF, PostgreSQL (Aurora), Redis, RabbitMQ, REST/webhooks.
• Platform: AWS (ECS Fargate), Terraform, GitHub Actions, Sentry, LaunchDarkly, Superset.
• Frontend touchpoints: React/TypeScript (nice to have).

What you bring

• 5–7 years building production backends with Python/Django.
• Strong performance engineering: profilers, EXPLAIN plans, connection pooling, caching strategies, async offload.
• Solid architecture: clear boundaries, backward-compatible changes, versioned contracts.
• Testing discipline (pytest, factories/fixtures, contract tests) and operability mindset (metrics/alerts).
• Security basics (PII handling, secrets, OWASP); fintech/SOC2/PCI awareness is a plus.
• Clear English communication and effective AI-assisted development habits.

Nice to have

• Experience with third-party APIs and a lightweight integrations framework (auth, retries, idempotency, webhooks).
• Fintech/payments/KYC/KYB exposure.

How we work

• Remote-first across Eastern Europe with reasonable overlap to Pacific Time.
• Product-driven, metrics-led delivery; ship with flags, measure, iterate.

Hiring process

Intro chat → Technical deep-dive (system design + Django perf) → Practical pairing or small take-home → Team interview → Offer.

Ready to join TrustPoint?

Send your CV and links (GitHub/LinkedIn) plus a short note on (1) a Django performance win you delivered and (2) how you use AI day-to-day as an engineer.