Lead DevOps Engineer

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, 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.

• 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