Representative profile
Senior Python / Django Engineer
N. G. · 9+ years · UTC+5:30 (IST)
- Availability
- Available now
- Rate band
- $ · $50 to $75 / hr
- Experience
- 9+ years
- Industries
- Healthtech, GovTech
- Python
- Django
- PostgreSQL
- AWS
- Has built and maintained Django systems in healthtech and GovTech, where audits are routine
- Treats tests, migrations, and documentation as part of the feature, not extras
- Comfortable inheriting a legacy Django codebase and improving it without a rewrite
This profile represents a dependable back-end shape in the turnkey.dev network: a senior Django engineer whose habits were formed in sectors where mistakes get audited.
Background
Nine years of Python, most of it building Django applications on PostgreSQL and deploying them to AWS. The healthtech and GovTech years left a mark: careful data handling, access controls thought through up front, and a preference for boring, well-tested code over clever code. Equally at home starting a new service or taking over a long-lived codebase that nobody fully understands anymore.
What the work actually looks like
A week for an engineer like this rarely looks like greenfield feature work alone. It is a mix of building Django REST Framework endpoints against an agreed API contract, writing the serializers and permission classes that enforce who can see what, and reviewing the SQL the ORM actually emits before a query ships. When a listing endpoint slows down, the instinct is to check for N+1 queries first, add select_related or prefetch_related where they belong, and only reach for caching once the query plan is honest.
Background work runs through Celery on Redis or SQS: report generation, notification fan-out, third-party syncs. The archetype writes those tasks to be idempotent and retry-safe, because in a regulated system a job that runs twice and double-writes is an incident, not a quirk. Schema changes go out as reversible migrations planned around live traffic, which on large tables means knowing which operations lock and how to stage them so the application keeps serving.
On AWS this usually means RDS for PostgreSQL, S3 for documents and exports, and deployments through containers on ECS or plain EC2 with a load balancer. Not a dedicated DevOps engineer, but self-sufficient enough to own the pipeline for the services they run.
Strengths
- Django depth. Knows the ORM, migrations, and the admin well enough to use them fully and to know when to step outside them, including dropping to raw SQL when a query genuinely needs it.
- PostgreSQL fluency. Designs schemas and indexes deliberately, reads query plans, and treats the database as part of the application rather than a black box behind the ORM.
- API craftsmanship. DRF viewsets, serializers, pagination, throttling, and versioning handled consistently, so the API stays predictable as it grows.
- Compliance-aware engineering. Used to environments with data protection requirements, audit logs, role-based access, and formal reviews.
- Legacy rescue. Can stabilize and modernize an aging Django project incrementally, keeping it shipping the whole time: pin and upgrade dependencies, raise test coverage around the scary parts first, then refactor.
What to look for when hiring this archetype
If you are interviewing someone with this shape, a few signals separate a strong senior from a competent mid-level. Ask how they would migrate a column on a table with millions of rows while the app stays up; a senior answers with a multi-step plan, not a single ALTER. Ask when they would break work out of the request cycle into a task queue, and how they keep those tasks safe to retry. Ask them to explain a time the ORM produced a bad query and what they did about it. Vague answers about “optimizing the code” are a warning sign; specific answers about query counts, indexes, and locking are the real thing.
The weak version of this profile knows Django tutorials well and production Django poorly. The strong version has been paged for their own code and changed how they build because of it.
Typical engagement
Often starts by taking ownership of an existing back end, then grows into the go-to engineer for the whole server side. Works well as the senior backend presence on a small product team, or as the person who unblocks a data-heavy feature that has stalled. India hours, with a reliable morning overlap for European teams and early or late overlap for North America by arrangement. Full-time or substantial part-time engagements both fit. Available now.
This is a representative sample of the vetted pool. Request it and we confirm real, current availability for a developer with this background.
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