Python Developer

We need a senior backend engineer who can own systems end-to-end — not someone who writes APIs and hands off the rest. You'll work directly with the CTO, lead projects from blank repo to production, switch between product lines as priorities shift, and use AI dev tools (Claude Code, Cursor, Copilot) as a core part of your daily workflow. Talkwisely builds AI-powered telephony platforms and call centre analytics for enterprises. We're also part of a broader technology group with product lines across energy, finance, and data intelligence. You won't be stuck on one codebase — you'll build across products, industries, and problem spaces. We don't care about your degree, your previous company's name, or your LeetCode count. We care about what you can build, how fast you learn, and whether you take ownership.
Responsibilities
Design and build scalable backend systems with Python/Django (DRF) across multiple products
Architect and manage AWS infrastructure — EC2, S3, RDS, Lambda, SQS, CloudWatch
Own PostgreSQL end-to-end — schema design, indexing, query optimisation, migrations
Build webhook systems (consuming and producing) with idempotency and retry logic
Implement real-time features with WebSockets using Django Channels
Write performant async code — Celery, asyncio, async Django views
Configure and manage Nginx — reverse proxy, SSL, upstream balancing, WebSocket upgrades
Lead new projects from zero: setup, architecture, deployment, and handoff
Use agentic AI tools daily to accelerate development without sacrificing quality
Mentor junior developers, conduct code reviews, and enforce engineering standards
Debug and resolve production issues — performance, memory, and server health
Context-switch across product lines and brands as priorities evolve
Requirements
3+ years of hands-on experience with Python and Django in production
Strong CS fundamentals — data structures, system design, design patterns
Production AWS experience (EC2, S3, RDS, Lambda, SQS at minimum)
Deep PostgreSQL knowledge — schema design, indexing, query tuning, migrations
Experience with webhooks, WebSockets, and async programming patterns
Nginx configuration in production environments
Linux command line and server administration
Active daily usage of AI coding tools (Claude Code, Cursor, or Copilot)
Ability to independently kick-start and lead projects from scratch
High learning velocity — picks up new tools and domains in days, not months
Benefits and Perks
Ownership-first culture — you own entire systems, not Jira tickets
Direct collaboration with the CTO and founding engineering team
Work across multiple industries and product lines — not one codebase forever
AI-first engineering workflow — latest tools with no approval gates
Competitive compensation
Clear path to engineering leadership
Exposure to cutting-edge AI + telephony + data products serving enterprise clients
Skills: python,django,aws