DevOps Engineer

Experience:
2 to 5 years

Industry preference:
Financial services, Asset Management, Investment Management, Fintech, etc.

Work mode:
Remote, Full time

About the Company

The client builds enterprise AI, data, and software solutions, establishing its India ODC as a direct extension of its global product and engineering teams.

What we're looking for?

We are hiring a DevOps / Cloud Infrastructure Engineer to build, secure, and scale enterprise cloud and MLOps platforms for AI-driven applications across Fintech, Investment Banking, and Asset Management sectors.

Must-Have AI Experience (Mandatory)
- AI/ML Infrastructure:
Direct, hands-on experience provisioning and maintaining cloud platforms for AI/ML or Generative AI workloads (GPU nodes, model deployment pipelines, vector DB hosting, or MLOps environments). Candidates with only standard web/app DevOps experience will not be considered.
- Financial Services Context:
Exposure to deployment, auditing, and compliance standards in Fintech, Investment Management, Private Equity,



or Banking

KRAs
- Provision secure AWS/Azure/GCP platforms using Terraform and orchestrate containerized workloads on Kubernetes (EKS/AKS/GKE) and Docker.
- Build automated CI/CD & MLOps pipelines using GitHub Actions, GitLab CI, or Jenkins.
- Implement centralized secrets management (HashiCorp Vault/Cloud Key Vaults) and integrate security scanning (SAST/DAST/containers) into pipelines.
- Configure enterprise observability (Prometheus, Grafana, ELK, Datadog) for cloud and AI platforms.
- Automate infrastructure operations using Linux and Python/Bash scripting.

Requirements
- Cloud & IaC: AWS / Azure / GCP, Terraform
- Containers & Pipelines: Docker, Kubernetes, GitHub Actions / GitLab CI / Jenkins
- Security & Observability: Secrets Management, Security Scanning(SAST/DAST/Vulnerability), Monitoring/Logging Stacks
- OS & Automation: Linux Administration, Python, Bash Scripting

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