DevOps Engineer ID98058

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. The mandatory requirements are 4+ years of DevOps, SRE or platform engineering experience, CI/CD and infrastructure-as-code, Kubernetes and cloud platforms, and cloud security and compliance in PCI-regulated environments. RECRUITMENT PROCESS 1. Application — Share a few details about your experience and background. 2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with. 3. Video Interview — Record a short video introduction in English. 4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role. 5. Offer — If it’s a match, you’ll receive an offer. WHAT YOU’LL GAIN • Remote work — Work from where you feel most productive. • Local presence in India — Work in a structured and compliant environment aligned with Indian regulations. • Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness. • Exciting projects — Work with modern technologies for global clients and fast-growing companies. 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 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. 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, and own CI/CD pipelines in GitHub Actions, Jenkins or GitLab CI. • 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, while helping shape internal platform standards 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.