We are looking for a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data & AI teams in a PCI-compliant environment.

The mandatory requirements are solid SQL skills, experience with PCI-DSS and compliance in regulated environments, 4+ years of DevOps, SRE, or platform engineering experience, CI/CD pipelines, Terraform or similar infrastructure-as-code, Kubernetes, AWS, Azure, or GCP, Python, Bash, or Go scripting, availability for on-call rotations, and strong English communication skills.

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.

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).

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📌 DevOps Engineer (Ciudad de México)
🏢 Agileengine
📍 Ciudad de México