DevOps Engineer ID95927

AgileEngine 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 DevOps 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 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.

- 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 FinOps practices and cloud cost optimization.

- Experience supporting ML or LLM workloads — GPU scheduling, model-serving infrastructure, vector databases, or LangSmith / Langfuse.

- Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.

- AWS / Azure / GCP Professional, CKA / CKAD, or HashiCorp 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 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.

PERKS AND BENEFITS

- Professional growth : Mentorship, TechTalks, 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.