SaaS Engineering Lead – AWS / Python / React
Overview
An opportunity to lead the development of large-scale, data-driven SaaS platforms used to analyse and visualise complex financial datasets. The position involves managing a team of engineers while remaining closely involved in architecture, system design and technical direction. The platform is built using cloud-native infrastructure with Python services, modern web technologies and AWS.
Role Responsibilities
- Lead and mentor a team of approximately eight engineers across backend and frontend development.
- Work closely with product leadership to shape the technical roadmap and deliver new platform capabilities.
- Guide the architecture and development of scalable cloud-based applications.
- Ensure strong engineering practices around testing, reliability, performance and security.
- Contribute to system design decisions and oversee delivery of production-ready features.
Core Requirements
- Demonstrated experience managing engineering teams and delivering software in production environments.
- Background building or operating B2B SaaS platforms, including multi-tenant architectures.
- Strong knowledge of AWS and cloud-native system design.
- Experience working with Python backend systems and modern web stacks such as React or Typescript.
- Ability to solve complex technical challenges and communicate effectively with both engineering and product stakeholders.
Additional Experience
- Exposure to data platforms or analytical tooling such as Spark, pandas, Snowflake, Databricks or DuckDB.
- Familiarity with agile development environments and continuous delivery pipelines.
The role focuses on developing advanced platforms used for large-scale financial data analysis and visualisation. The team is building tools used by leading financial institutions to work with extremely large datasets. The environment is collaborative, technically focused and centred around building high-impact data applications.
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