Senior Python Software Engineer

Senior Software Engineer (Python / AWS) — Up to £90k — 📍

Location:

London or Manchester — 💼

Employment Type:

Full-time, Permanent

We’re looking for a Senior Software Engineer with deep experience in Python and AWS to help design, build, and scale distributed, data-driven Ad‑Tech systems. You’ll lead the delivery of cross‑service features within a modern cloud platform, making pragmatic architectural choices and setting high standards for engineering quality, reliability, and performance. You’ll play a key role in shaping technical direction, mentoring engineers, and ensuring the systems you build are secure, observable, and resilient.

• Drive the end‑to‑end design and implementation of Python‑based microservices and cloud‑native solutions hosted on AWS.
• Define service boundaries, data ownership, and failure‑recovery patterns for scalable, high‑availability systems.
• Champion best practices for testing, observability, and security; review critical PRs and guide technical decisions across the team.
• Monitor performance, reliability, and cost efficiency; lead incident response and drive continuous improvement.
• Support engineers through pairing, feedback, and documentation to strengthen technical capability across the team.
• Collaborate with Product, Design, and Data teams to align on priorities and ensure value is delivered incrementally.

• Languages: Python (FastAPI, Flask, or Django)
• Cloud: AWS (Lambda, ECS/Fargate, S3, Dynamo
  
  DB, Cloud Watch, API Gateway)
• Data & Messaging: Postgre
  
  SQL, Redis, Kafka or SQSCI/D
• CI/CD & Infrastructure: Docker, Terraform, Git Hub Actions, Cloud Formation
• Monitoring & Observability: Prometheus, Grafana, Open Telemetry
• Testing: Pytest, integration and load testing frameworks

• Proven experience designing and delivering production systems using Python on AWS.
• Strong understanding of distributed systems, API design, and event‑driven architectures.
• Deep knowledge of system observability, logging, and performance optimisation.
• Familiarity with modern security and data‑privacy best practices.
• Excellent communicator who can document and articulate technical trade‑offs clearly.

• Ownership: Takes full responsibility for systems from design to operation.
• Pragmatism: Balances long‑term architecture with delivery velocity.
• Influence: Raises standards and mentors others across engineering disciplines.
• Growth Mindset: Continuously improves processes, tools, and team capability.

• Reliable delivery of complex Python/AWS initiatives.
• Reduction in latency, error rates, and infrastructure spend.
• Strong incident management and operational excellence.
• Documented technical decisions and clear architectural rationale.
• Evident impact through mentoring and team enablement.