We’re looking for a Senior Software Engineer with deep experience in Python and AWS to help design, build, and scale distributed, data-driven AI&ML 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.
Key Responsibilities
* Lead complex delivery: Drive the end-to-end design and implementation of Python-based microservices and cloud-native solutions hosted on AWS.
* Architect and optimise systems: Define service boundaries, data ownership, and failure-recovery patterns for scalable, high-availability systems.
* Raise engineering quality: Champion best practices for testing, observability, and security. Review critical PRs and guide technical decisions across the team.
* Operate and improve production systems: Monitor performance, reliability, and cost efficiency. Lead incident response and drive continuous improvement.
* Mentor and grow others: Support engineers through pairing, feedback, and documentation to strengthen technical capability across the team.
* Contribute to technical roadmap: Collaborate with Product, Design, and Data teams to align on priorities and ensure value is delivered incrementally.
Core Tech Stack Languages
* Python (FastAPI, Flask, or Django) Cloud: AWS (Lambda, ECS/Fargate, S3, DynamoDB, CloudWatch, API Gateway)
* Data & Messaging: PostgreSQL, Redis, Kafka or SQS
* CI/CD & Infrastructure: Docker, Terraform, GitHub Actions, CloudFormation
* Testing: Pytest, integration and load testing frameworks
Key Skills & Expertise
* 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.
* Success Indicators
o Reliable delivery of complex Python/AWS initiatives.
o Reduction in latency, error rates, and infrastructure spend.
o Strong incident management and operational excellence.
o Documented technical decisions and clear architectural rationale.
o Evident impact through mentoring and team enablement.
Company Benefits
* Hybrid working – We offer flexible, hybrid working from our London or Manchester offices. No spending the whole working week in the office, unless you want to.
* 35 days holiday – Plenty of time off to recharge your batteries (or just binge Netflix, whatever floats your boat).
* Home office – We’ll pay up to £1500 to support your home office set up to ensure you have the best environment and equipment for success in your role.
* Private healthcare – As a UK Lunio employee, you can join our BUPA Healthcare Scheme. Choose to fund this from your Wellbeing Budget, or from your salary.
* Mental health and wellbeing – Paid‑for support up to £500 to help your mental and physical wellbeing both in and out of work.
* Enhanced parental leave – We offer extended maternity, paternity, and shared parental paid time off to spend quality time with family.
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