Hiring for Senior Python Developer

Senior Python Developer – Analytics
About the Role
As a Senior Python Developer in the Analytics team, you will help build and improve Python-based analytical engines used for numerical data analysis, risk calculation, and modelling. This is a hands-on engineering role in a small specialist team. You will bring strong software engineering expertise to complement the team's existing quantitative and mathematical capability, with a focus on performance, deployment, reliability, and maintainability.
Key Responsibilities
Own and improve the deployment and runtime behaviour of Python analytical engines in containerised and cloud environments, across application code, infrastructure configuration, CI/CD pipelines, and operational troubleshooting
Improve how analytical engines integrate with surrounding services and workflows, including data exchange, interfaces, messaging, and operational constraints
Investigate, diagnose, and fix performance, reliability, and scalability issues in deployed environments, including container start-up, runtime initialisation, resource configuration, and operational bottlenecks
Develop and maintain Python-based applications and services
Work with product owners, project managers, and other developers to define and build new features
Write clean, maintainable, and efficient code
Review code and give constructive feedback to peers
Troubleshoot and debug issues quickly
Requirements
5+ years of hands-on Python development, including ownership of production or production-adjacent services where performance, reliability, testing, and maintainability mattered
Experience designing, deploying, and supporting Python services in production-like environments, including APIs, containers, cloud infrastructure, CI/CD pipelines, monitoring, and troubleshooting
Kubernetes or Helm experience is highly valued
Strong knowledge of the modern Python ecosystem: recent language developments, useful libraries, packaging, testing approaches, and patterns for maintainable production code
Proficiency with Git
Knowledge of database systems and SQL (MS SQL Server and Azure SQL)
Strong problem-solving skills and technical judgement, and the ability to investigate unfamiliar engineering problems independently
Strong communication and teamwork skills
Good to Have
Experience deploying, running, or troubleshooting containerised services on cloud platforms, especially Azure Container Apps, Kubernetes, or Docker
Experience with messaging, event-driven systems, or service-to-service communication (e.g., Kafka, Dapr)
Familiarity with CI/CD, DevOps practices, logging, monitoring, and observability
Understanding of Agile methodologies
Experience with NumPy, Pandas, and similar libraries

Work arrangement
No