DevOps Engineer ID95927

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. The mandatory requirements are solid SQL skills, experience with PCI-DSS and compliance in regulated environments, 4+ years of DevOps, SRE, or platform engineering experience, CI/CD pipelines, Terraform or similar infrastructure-as-code, Kubernetes, AWS, Azure, or GCP, Python, Bash, or Go scripting, availability for on-call rotations, and strong English communication skills. 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 Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support: access local well-being programs and people-focused support tailored to your location Job Type: Full-time Work Location: Remote