About the Role
We are looking for a DevOps Engineer with 6–10 years of experience and robust exposure to quantitative finance and capital markets technology. Banking and capital markets experience is essential — with preference for trading markets technology background. You will design, build, and operate CI/CD pipelines, cloud infrastructure, and automation frameworks underpinning quantitative research, pricing, risk, and trading platforms.
Key Responsibilities
Design, build, and maintain CI/CD pipelines for quantitative finance applications — pricing engines, risk systems, quant model deployments, and market data platforms.
Architect and manage AWS cloud infrastructure for quant workloads — EKS, HPC services, Terraform IaC, and cost optimisation.
Manage Kubernetes clusters — EKS administration, Helm, GitOps, RBAC, and performance tuning for latency-sensitive financial workloads.
Implement observability — Prometheus, Grafana, Datadog — monitoring pricing engine performance, risk SLAs, and market data feed health.
Support quant technology infrastructure — pricing engines,



backtesting frameworks, and market data integrations (Bloomberg, Refinitiv, ICE).
Lead incident response — coordinating rapid resolution of quant platform outages with minimal business impact.

What We're Looking For
6–10 years of DevOps / Platform Engineering with proven capital markets or quantitative finance technology exposure.
Banking and capital markets experience — essential. Trading markets experience — preferred.
Robust AWS expertise.
Robust CI/CD skills — GitLab CI, Jenkins, or GitHub Actions.
Deep Kubernetes skills — EKS, Helm, GitOps, and RBAC.
Solid Terraform expertise — modular IaC design and remote state management.
Python and Shell scripting for infrastructure automation.
Good understanding of quant finance technology — pricing engines, risk systems, and market data platforms.

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📌 Devops Engineer Gurugram
🏢 Accolite Digital India
📍 Gurugram