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# Senior Software Engineer - Python / AWS

- **Company:** Qh4 Consulting
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, Distributed Systems, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Performance Tuning, SQL Databases, Data Processing, Spring Cloud, Snowflake, Apache Kafka, Microservices
- **Published:** September 20, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-software-engineer-python-aws/47707081

## About the Role

Designing and building Python services, APIs and microservices that support portfolio analytics, optimisation and data processing* Writing, tuning and optimising complex SQL and high-volume ETL processes on PostgreSQL and SQL Server* Delivering scalable, event-driven components using Kafka and asynchronous processing* Developing cloud-native applications on AWS, including Lambda, ECS/EKS, S3, Step Functions and Aurora* Owning CI/CD pipelines, automated testing and release processes so that deployments are consistent and dependable* Partnering with portfolio managers and quantitative researchers to turn investment, risk and analytics requirements into production-ready solutions* Championing everyday use of AI-assisted development across the team, and setting clear standards for reviewing AI-generated code Essential experience* A background in financial services, ideally asset management, with 3+ years of hands-on software or data engineering experience* Strong, hands-on Python development
(3+ years), including APIs, data processing and service-oriented design* Practical DevOps experience on AWS, including CI/CD, automated testing and containerised, cloud-native deployments* 3+ years of SQL across PostgreSQL, SQL Server and/or Snowflake, including performance tuning and ETL* A solid grasp of data engineering fundamentals: data modelling, pipeline design, error handling, validation and lineage* Working knowledge of event-driven and distributed architectures, for example using Kafka How to applySubmit your CV via LinkedIn or email it to #####. All applications will be treated in confidence.



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