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.ResponsibilitiesKubernetes 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.
RequirementsAdvanced 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. **** 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, 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 and container workloads.Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.Implement security and compliance controls: IAM, SSO, secrets management, vulnerability scanning, policy‐as‐code, and PCI‐aware patterns.Lead incident response – on‐call, runbooks, blameless post‐mortems, and continuous reliability work.Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self‐service.
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: Adaptable schedule with remote and office options.
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📌 Azure Devops Engineer - Ci/Cd, Aks & Iac (Remote) (Santa Fe)
🏢 Kinetic Talent
📍 Santa Fe