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 Google Kubernetes Engine (GKE), using Helm and Kustomize.
- Infrastructure as Code: Build modular and cloud‑agnostic infrastructure using Terraform across GCP, other public clouds, and on‑premise environments.
- CI/CD Pipeline Ownership: Design, maintain, and optimize reusable GitHub Actions workflows for testing, containerization, and deployment.
- Container Image Management: Manage container images and deployment workflows using GitHub Container Registry (GHCR).
- IAM & Platform Deployment: Deploy, operate, and scale Keycloak clusters; configure GitHub Workload Identity Federation (OIDC) for secure, keyless access to GCP resources.
- Secrets Management: Implement and maintain secure secrets management practices.
- Collaboration & Improvement: Collaborate with technical leadership to evaluate and improve deployment strategies, including CI/CD, GitOps, ArgoCD or Flux.
- System Reliability: 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 GitHub Actions pipelines.
- Experience with 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 with GCP/GKE and multi‑cloud approaches.
- Strong understanding of containerised 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 and managing infrastructure as code.
- Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling.
- Strong scripting skills in Python, Bash, or Go; solid SQL skills; 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, especially PCI‑compliant or regulated environments.
- Proven ability to work independently and within a team; manage priorities across concurrent projects and time zones, including on‑call rotations.
- Strong written and verbal communication skills; able to work effectively with 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 and supply‑chain security.
- Experience with FinOps practices and cloud cost optimization.
- Experience supporting ML or LLM workloads.
- Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.

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, packagi

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