The Role: We are looking for an Infrastructure / DevOps Engineer to join our Cloud Platform Engineering Team.
In this role, you will own cloud infrastructure, deployment automation, and system reliability, with a strong focus on cloud-agnostic portability, Kubernetes administration, Infrastructure as Code, and automated CI/CD workflows.
We are looking for someone with strong hands‑on experience in Kubernetes, Terraform, GitHub Actions, multi‑cloud environments, and IAM solutions such as Keycloak.
Responsibilities:
- Kubernetes Administration: Deploy, manage, scale, and troubleshoot workloads on Kubernetes, initially using Google Kubernetes Engine (GKE), with Helm and Kustomize.
- Infrastructure as Code: Build modular and cloud‑agnostic infrastructure using Terraform, enabling consistent deployments across GCP, other public clouds, and on‑premise environments.
- CI/CD Pipeline Ownership: Design, maintain, and optimize reusable GitHub Actions workflows for automated testing, containerization, and deployment.
- Manage container images and deployment workflows using GitHub Container Registry (GHCR).
- IAM & Platform Deployment: Deploy, operate, and scale highly available Keycloak clusters.
- Configure GitHub Workload Identity Federation (OIDC) to provide GitHub Actions with secure, keyless access to GCP resources.
- Implement and maintain secure secrets management practices.
- Collaborate with technical leadership to evaluate and improve deployment strategies, including traditional CI/CD and GitOps approaches using tools such as ArgoCD or Flux.
- Contribute to the reliability, scalability, security, and portability of the overall cloud platform.
Requirements:
- Advanced hands‑on experience managing production Kubernetes environments, including container networking.
- Strong proficiency with Terraform, Helm, and Infrastructure as Code (IaC) methodologies.
- Deep experience designing and maintaining deployment pipelines using GitHub Actions.
- Experience working with GitHub Container Registry (GHCR).
- Experience deploying and maintaining production Keycloak/IAM environments.
- Strong understanding of OIDC, identity management, authentication, and authorization concepts.
- Experience with secrets management and cloud security best practices.
- Experience working with GCP/GKE and an understanding of multi‑cloud or cloud‑agnostic infrastructure approaches.
- Strong understanding of containerized environments, deployment automation, and system reliability.
Core Tech Stack
- Kubernetes (GKE)
- Terraform
- Helm
- Kustomize
- GitHub Actions
- GHCR
- GCP
- Multi‑Cloud
- Keycloak
- OIDC
- IaC
- ArgoCD / Flux
AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment.
MUST HAVES
- 4+ years of professional DevOps, SRE, or platform‑engineering experience operating production services.
- 3+ years of hands‑on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
- Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, ArgoCD, or Flux).
- Strong scripting skills in Python, Bash, or Go; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure, or GCP).
- Hands‑on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
- Solid understanding of cloud security and compliance practices, particularly in PCI‑compliant or regulated environments.
- Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on‑call rotations.
- Strong written and verbal communication skills; able to work effectively with both technical and non‑technical stakeholders.
NICE TO HAVES
- Experience operating Dataiku DSS, Snowflake, or other large‑scale data and analytics platforms in production.
- Experience with service meshes (Istio, Linkerd), API gateways, and zero‑trust networking.
- Experience with policy‑as‑code (OPA / Rego, Checkov, tfsec) and supply‑chain security (SBOM, Sigstore).
- Experience with FinOps practices and cloud cost optimization.
- Experience supporting ML or LLM workloads — GPU scheduling, model‑serving infrastructure, vector databases, or LangSmith / Langfuse.
- Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
- Experience in loyalty, martech, adtech, or a comparable data‑rich B2B domain.
WHAT YOU WILL DO
- Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in Data & AI teams.
- Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure, or GCP.
- Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — build, test, security scanning, blue‑green or canary deploys, and automated rollback.
- Operate Kubernetes clusters (EKS, AKS, or GKE) and container workloads with LENS, Helm, ArgoCD, or Flux — including autoscaling, ingress, secrets, and policy.
- Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog — metrics, logs, traces, dashboards, and SLO‑driven alerting.
- Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy‑as‑code (OPA, Checkov), and PCI‑aware patterns.
- Lead incident response — on‑call, runbooks, blameless post‑mortems, and continuous reliability work to drive down MTTR and toil.
- Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self‑service.
- Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
- Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.
PERKS AND BENEFITS
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD‑based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.