We’re partnering with a leading global private markets investor seeking a Quantitative DevOps Engineer to support its Investment Science platform.
This is not a traditional DevOps role.
You’ll work directly alongside quantitative researchers, data engineers, and investment teams to build and maintain a modern Azure-based analytics environment. Your work directly impacts research velocity, production stability, and deployment standards.
What You’ll Own:
- CI/CD build, test & deployment pipelines
- Azure cloud infrastructure (IaC driven)
- Git branching standards & code promotion
- Containerised deployments (Docker/Podman)
- Production stability & incident resolution
- Automation across the data lifecycle
Tech Stack:
Azure | Python | Bash | PowerShell | Snowflake | Docker | IaC
What They’re Looking For:
- 6+ years DevOps in cloud-first environments
- Experience in financial services / investment management
- Strong scripting and automation mindset
- Comfortable in high-intensity, research-driven settings
- Clear communicator — technical & non-technical
Hybrid structure with defined flexibility.
If you enjoy building scalable infrastructure in sophisticated investment environments — this is worth a conversation.