Job Description
Agile Engine 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 Dev Ops 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 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 CircleCI) and managing infrastructure as code (Terraform, Pulumi, or Cloud Formation).
- 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, 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.
- Upper-intermediate English level.
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).
- Experience with Fin Ops practices and cloud cost optimization.
- Experience supporting ML or LLM workloads — GPU scheduling, model-serving infrastructure, vector databases, or Lang Smith / Langfuse.
- Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
- AWS / Azure / GCP Professional, CKA / CKAD, or Hashi Corp Terraform certification.
- Experience in loyalty, martech, adtech, or a comparable data-rich B2B domain.
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, ArgoCD, 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.
PERKS AND BENEFITS
- Professional growth: Mentorship, Tech Talks, 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.
Requirements
4+ years of professional Dev Ops, SRE or platform-engineering experience operating production services 3+ years of hands-on work building CI/CD pipelines (Git Hub Actions, Jenkins, Git Lab CI or CircleCI) and managing infrastructure as code (Terraform, Pulumi or Cloud Formation) 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, 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

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