The Role
Build and operate cloud infrastructure, infrastructure-as-code, CI/CD pipelines, Kubernetes platforms, observability, and security controls for Data and AI teams. Lead incident response, reliability improvements, compliance implementation, and developer platform tooling. Partner with engineering, QA, database, AI, and product teams across India and the U.S. while supporting production services, on-call rotations, and concurrent projects.
Summary Generated by Built In
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.
Skills Required
- 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services
- 3+ years of hands-on experience building CI/CD pipelines and managing infrastructure as code
- Working knowledge of Kubernetes and container tooling
- Strong scripting skills in Python, Bash, or Go
- Solid SQL skills
- Strong experience with at least one cloud platform: AWS, Azure, or GCP
- Hands-on experience with observability stacks such as New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog
- Understanding of cloud security and compliance practices, particularly PCI-compliant or regulated environments
- Ability to work independently and collaboratively across concurrent projects and time zones
- Ability to participate in on-call rotations
- Strong written and verbal communication skills with 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, API gateways, and zero-trust networking
- Experience with policy-as-code and supply-chain security
- Experience with FinOps practices and cloud cost optimization
- Experience supporting ML or LLM workloads
- Experience with PostgreSQL, MySQL, or Snowflake database administration or reliability
- AWS, Azure, or GCP Professional, CKA, CKAD, or HashiCorp Terraform certification
- Experience in loyalty, martech, adtech, or a comparable data-rich B2B domain
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
