Our client, a high‑performance technology firm serving institutional finance is expanding its cloud engineering team. The company builds advanced data and AI infrastructure used in risk, research, and trading, and is known for deep technical rigor, hands‑on client deployment, and a culture of engineering excellence.
This role is ideal for mid‑level engineers who want to work directly with sophisticated clients, own critical cloud systems, and operate in a technically demanding environment.
What You’ll Do
- Design and manage secure, scalable cloud infrastructure, primarily in Azure.
- Build Terraform‑based IaC, CI/CD pipelines, and containerized environments (Docker or equivalents).
- Architect networking, VPNs, private endpoints, DNS, and certificate‑based security.
- Automate operations using Python (a core requirement) and Bash.
- Deploy and support technology directly in client environments, including onsite work.
- Work with backend systems using Redis, MSSQL, Azure SQL, and distributed‑system patterns.
- Collaborate with engineering and product teams to shape infrastructure strategy for demanding financial workloads.
What You Bring
- Ideally around 5 years experience in cloud or platform engineering.
- Strong Python skills (non‑negotiable).
- Azure experience preferred; strong AWS or GCP engineers open to Azure will also be considered.
- Hands‑on experience with Terraform, Docker, and CI/CD pipelines.
- Solid understanding of networking, VPNs, and secure connectivity.
- Experience deploying technology onsite to clients—ideally in hedge funds, fintech, or high‑touch enterprise environments.
- Exceptional communication skills for client‑facing work.
- Ability to work onsite up to 3 days per week, including time in the Manhattan office.
Preferred Background
- Exposure to hedge‑fund or asset‑management workflows.
- Experience with multi‑tenant or single‑tenant SaaS architectures.
- Strong quantitative intuition or interest in financial analytics
