Job Openings DevOps Engineer (Infrastructure & Release Automation)

About the job DevOps Engineer (Infrastructure & Release Automation)

Team Segment : Solutions Business

Our Current Stack Includes:
AWS · Kubernetes (EKS) · Terraform · GitLab CI · Jira · Python/Golang
(Experience with equivalent tools is also welcomee.g., Jenkins, GitHub Actions, CircleCI, Ansible, etc.)

About the Role:
We are hiring a DevOps Engineer to accelerate our infrastructure automation, CI/CD reliability, and release process tooling. You will join a team that owns:

1. Terraform-first AWS infrastructure
2. GitLab-based CI/CD pipelines
3. Jira-integrated release orchestration
4. And help enable our next wave of Kubernetes adoption

You will  work cross-functionally with engineers, SREs, and PMs to build scalable internal platforms and improve developer velocity through better tooling and automation.

Responsibilities:

    • Build and maintain CI/CD pipelines with GitLab and GitOps principles.
    • Design, evolve, and operate Infrastructure as Code (Terraform) for AWS.
    • Automate releases and deployment flows across environments and services.
    • Support Kubernetes workloads (EKS) and future platform integrations.
    • Improve visibility, rollback/recovery, and testing strategies across environments.
    • Collaborate closely with developers to improve DevEx, speed, and reliability.

    Requirements:

    • 2+ years of experience in DevOps, Infra, or Platform Engineering.
    • Proficient in at least one programming/scripting language (Python, Golang, Bash).
    • Hands-on experience with Terraform, Docker, and modern CI/CD platforms.
    • Familiarity with Linux, AWS, and container-based deployments.
    • A mindset for collaboration, automation, and incremental improvement.

    Nice to Have:

    • Experience with Kubernetes/EKS: workloads, rollout strategies, Helm/Kustomize.
    • Familiar with AWS tools like SSM, CodeDeploy, CloudWatch, or Step Functions.
    • Understanding of release automation workflows using Jira + GitLab APIs.
    • Comfortable building reusable templates and enforcing policies at scale.