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). #J-18808-Ljbffr

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