Senior Software Engineer

Senior Software Engineer (Python / AWS)

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Location: London or Manchester

Employment Type: Full-time, Permanent

About the Role

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.

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
• Monitoring & Observability: Prometheus, Grafana, OpenTelemetry
• 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.

Behaviours & Attributes

• 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

• 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.