Overview
As a Senior Platform Engineer, you’ll build the services and infrastructure that power portfolio risk and analytics calculations. You will turn analytical models into reliable production services, creating APIs, cloud processing, and data workflows that connect inputs to calculation engines and deliver results to existing systems. You may also provide hands-on technical leadership across the team and help shape architecture and standards. This role focuses on dependable, scalable production engineering within risk analytics. You’ll work closely with model developers to translate requirements into robust software and scalable platforms.
Pay / Benefits
- hybrid work model (2 days in the office)
- competitive base salary plus strong incentives
Responsibilities
- Build Python APIs and calculation services
- Develop cloud-based processing for scheduled and on-demand jobs
- Implement containers, orchestration and queues with robust retries and recovery
- Integrate SQL data sources and downstream systems with traceable inputs/outputs
- Build deployment pipelines, monitoring, and security controls
- Support model versioning and auditable calculation runs
- Collaborate with quantitative developers to translate analytical needs into scalable software
- Guide architecture, code reviews, and engineering standards
Key requirements
- Strong production Python and backend engineering experience
- API design, cloud services and containerised workloads
- Job orchestration, message queues and SQL integration
- CI/CD, monitoring, security and production troubleshooting
- Understanding of data flows in calculation-heavy applications
- Experience with portfolio analytics, risk systems or batch processing (desirable)
- Hands-on technical leadership (desirable)
- leadership and mentorship
- collaboration with cross-functional teams
- problem-solving under production constraints
- Python backend engineering
- API design
- cloud services (cloud processing)
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