We are looking for a Dev Ops 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 Dev Ops, 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 Dev Ops and observability in Data & AI teams.
- Design and build cloud infrastructure as code with Terraform (or Pulumi / Cloud Formation), packaging reusable modules for AWS, Azure, or GCP.
- Own CI/CD pipelines in Git Hub Actions, Jenkins, or Git Lab 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, Argo CD, or Flux — including autoscaling, ingress, secrets, and policy.
- Build observability with Prometheus, Grafana, Open Telemetry, 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 Dev Ops environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.

Must haves
- 4+ years of professional Dev Ops, SRE, or platform-engineering experience operating production services.
- 3+ years of hands-on experience building CI/CD pipelines (Git Hub Actions, Jenkins, Git Lab CI, or Circle CI) and managing infrastructure as code (Terraform, Pulumi, or Cloud Formation).
- Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, Argo CD, 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, Open Telemetry, 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 (México)
🏢 Agileengine
📍 México