Lead DevOps Engineer

Job description

**Join our India Tech Hub – Be among the first hires!** Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world’s most recognized brands while working alongside some of the best and brightest in loyalty. About the team and what we will build together We’re looking for a DevOps Engineer with 10+ years of experience who thrives on building reliable, secure and automated cloud platforms that power real business workflows. You have strong scripting skills (Python, Bash or Go), hands-on experience operating production environments (CI/CD, infrastructure-as-code, container orchestration, observability), and working knowledge of Terraform, Kubernetes and at least one major cloud (AWS, Azure or GCP). You are comfortable writing solid SQL when needed, automating with Git and CI tools like GitHub Actions or Jenkins, and shipping reliable infrastructure that other engineers love to use. Kobie runs some of the largest loyalty programs in the world. We are building an internal agent platform on Dataiku that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams an LLM-native way to work with complex loyalty logic. As a Lead DevOps Engineer on the India Tech Hub team, you will play a key role in forming the roadmap for Data and AI Teams and building/supporting that platform — provisioning infrastructure, owning CI/CD, hardening security, and ensuring our services and agents run reliably at scale. This is not a back-office role: you will design, ship, monitor and iterate on infrastructure used by real teams, working closely with our U.S. Engineering and AI & Innovation teams and cross-functional partners across Engineering, Data, QA and Product. ### How you will make an impact - **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 **In your first 90 days** By the end of your first 90 days, you will have shipped at least one production infrastructure improvement end-to-end — such as a Terraform-managed environment, a hardened CI/CD pipeline, or a Kubernetes-based deployment with full observability. You will be on the on-call rotation, have authored or improved at least one runbook, and have a clear opinion about what our next reliability investment should be. ### What you need to be successful - 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