Devops Engineer Id95927

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.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

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.

• 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.
• Upper-intermediate English level.

• 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 Postgre SQL, My SQL, or Snowflake.
• AWS / Azure / GCP Professional, CKA / CKAD, or Hashi Corp Terraform certification.
• Experience in loyalty, martech, adtech, or a comparable data-rich B2 B domain.

• 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.

• 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 : Flexible schedule with remote and office options.