Senior Devops Engineer

First Object; Dadri, Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

First Object in Bangalore and Noida is seeking a Senior DevOps Engineer to own the CI/CD pipelines for an AI agent platform migrating to Azure. You will lead the build, test, security scan, and deployment pipelines across environments, ensuring reliability and scalability.

The role emphasizes Kubernetes, Helm, Terraform, and Azure DevOps with a focus on multi-stage pipelines, security, and SOX-compliant release processes. This is a hybrid role collaborating with cross-functional squads.

Qualifications

• 6+ years of DevOps engineering experience with Kubernetes and Helm.
• Kubernetes production-level operations including RBAC, quotas, rolling updates, and troubleshooting.
• Helm chart authoring, versioning, and multi-environment deployment automation.
• Multi-stage CI/CD design with Azure DevOps preferred.
• Docker image build pipelines, registry management and image scanning.
• Git branching strategies including trunk-based development and release tagging.
• Environment management for dev/staging/production parity and secret isolation.

Responsibilities

• Design, build, and maintain multi-stage CI/CD pipelines in Azure DevOps across build, test, security scan, staging, and production deployment gates.
• Own Terraform pipeline workflows with plan/apply automation and approval gates.
• Manage Docker image builds, Azure Container Registry, and image vulnerability scanning.
• Own Helm chart packaging and deployment automation into AKS across environments.
• Manage environment configuration and secret management across environments.
• Integrate Pytest and Playwright into pipeline quality gates.
• Design rollback procedures and SOX-compliant deployment approval workflows.
• Collaborate with squads on AI-specific pipeline requirements including model version deployments.

Skills

Kubernetes

Helm

CI/CD

Azure DevOps

Terraform

Docker

Git branching

Environment management

Tools

Azure DevOps

Terraform

Docker

AKS

Snyk/Security tools

Job description

JOB TITLE: Senior DevOps Engineer

Experience: 6+ Years

Location: Bangalore & Noida

Mode of Work: Hybrid

Summary:

We are looking for a Senior DevOps Engineer to own the CI/CD pipeline infrastructure and release automation for the Agent Development Squad, aligned to the Azure stream. This is the engineering backbone that every squad depends on to ship, covering build, test, security scan, and deployment pipelines across an AI agent platform migrating from on-prem to Azure. You will work closely with the Principal Cloud/Azure Platform Engineer and squad engineers to design pipelines that account for AI-specific deployment requirements, including model versioning, Langfuse trace routing, and confidence threshold deployments.

What You'll Do

• Design, build, and maintain multi-stage CI/CD pipelines in Azure DevOps covering build, automated testing, security scanning, staging, and production deployment gates.
• Own Terraform pipeline workflows, including plan/apply automation with approval gates for infrastructure provisioning.
• Manage Docker image build pipelines, Azure Container Registry, and image vulnerability scanning.
• Own Helm chart packaging, versioning, and deployment automation into AKS across multiple environments.
• Manage environment configuration for dev, staging, and production parity, including feature branch deployments and per-environment secret management via Azure Key Vault.
• Integrate Pytest and Playwright test suites into pipeline quality gates.
• Design rollback procedures and deployment approval workflows aligned with SOX change management requirements.
• Collaborate with the Agent squad on AI-specific pipeline requirements, including model version deployments, Langfuse instrumentation, and agent configuration changes.

Who You Are

Kubernetes, Helm and CI/CD - Primary Gate:

• 6+ years of DevOps engineering experience with deep hands-on expertise in Kubernetes and Helm.
• Kubernetes at production level, covering cluster operations, workload deployment, namespace management, RBAC, resource quotas, rolling updates, and troubleshooting.
• Helm for chart authoring, versioning, values management, and deployment automation for multi-environment Kubernetes workloads.
• Multi-stage CI/CD pipeline design covering build, automated testing, security scanning, staging, and production deployment gates; Azure DevOps strongly preferred.
• Docker image build pipelines, registry management, image scanning, and optimization.
• Git branching strategies including trunk-based development, branch protection policies, and release tagging.
• Environment management covering dev/staging/production parity, feature branch deployments, and secret isolation.

Azure Exposure Required:

• Working experience with Azure in a production or near-production context, covering AKS, Azure Container Registry, Azure Key Vault, and Azure Monitor. Azure certification is not required.
• Terraform for infrastructure provisioning as part of CI/CD, managing plan/apply workflows with approval gates.
• Azure Key Vault for secrets management integrated into pipeline and runtime contexts.

AI-Native Mindset

• Understands that AI agent deployments have requirements beyond standard application deployments, including model version management, LLM observability routing, and confidence threshold configuration.
• Able to design pipelines that accommodate AI-specific deployment artefacts and validation steps.

Nice to Have

• GitHub Actions as a secondary pipeline tool alongside Azure DevOps.
• GitOps patterns using ArgoCD or Flux for Kubernetes workload delivery.
• DAST/SAST tooling integration with Snyk, Checkmarx, or equivalent.
• SOX change management process integration in release pipelines.
• Azure certification, with AZ-400 (DevOps Engineer Expert) preferred.

What You'll Learn & Gain

• End-to-end ownership of the CI/CD backbone for a live AI agent platform, where pipeline reliability directly affects every squad's ability to ship.
• Hands-on experience designing pipelines for AI-specific deployment requirements, a discipline that is still being defined across the industry.
• Exposure to a full Azure-native infrastructure stack, including AKS, ACR, Key Vault, and Monitor, in a platform undergoing active cloud migration.
• Collaboration with Principal Platform Engineers, squad engineers, and QA to build release processes that meet both engineering velocity and SOX compliance requirements.