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Tech Stack
Tools & technologiesAWSAzureCloudDockerFluxGoGoogle Cloud PlatformGrafanaJenkinsKubernetesMySQLPostgresPrometheusPythonSQLTerraformVault
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 8+ years of professional DevOps, SRE or platform-engineering experience operating production services
- 3+ years of hands-on work 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
- Bonus Skills: 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 infra, 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.
Benefits
Comp & perks- Highly competitive benefits
- Comprehensive health coverage
- Flexible time off
- Prioritizing work-life balance
- Well-being perks
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
DevOpsSREplatform engineeringCI/CD pipelinesinfrastructure as codeKubernetesscriptingobservabilitycloud securitydatabase administration
Soft Skills
independent workteam collaborationpriority managementcommunication
Certifications
AWS ProfessionalAzure ProfessionalGCP ProfessionalCKACKADHashiCorp Terraform