Senior DevOps Engineer

Responsibilities

Kubernetes Platform & Infrastructure

• Engineer, review, and enhance Kubernetes and CNCF-aligned infrastructure.
• Operate and improve multi-cluster, multi-region environments using Istio, Linkerd, Cluster API, and Kyverno.
• Contribute to the DevOps and platform roadmap, including Kubernetes platform evolution, application packaging, migration to EKS, and enabling reliable production delivery.

AI Gateway

• Contribute to the Kong AI Gateway, including Kubernetes operator setup, dataplane deployments, ACM/SSL integration, and observability through Datadog.

Delivery & Automation

• Build and maintain progressive delivery pipelines using GitOps, canary releases, and automated releases with Flux and Flagger.
• Manage CircleCI CI pipelines alongside GitOps tooling.
• Maintain infrastructure-as-code and GitOps standards, including automated testing for infrastructure changes.

Security & Compliance

• Support Zero Trust practices using Vault, service identity, and mTLS-secured meshes.
• Build policy-driven automation using OPA or Kyverno.
• Work with provisioning tools such as Crossplane or ACK for Kubernetes-native cloud integration.

Collaboration

• Collaborate with Security, Data, and AI teams on DevOps and platform decisions.

Requirements

• Strong hands-on Kubernetes experience, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem.
• Strong Terraform experience, including complex state management and module design across cloud environments.
• Experience designing and operating multi-cluster, multi-region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd.
• Experience with policy-based workload placement.
• Experience implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi-environment releases.
• Working knowledge of LLM-based services and AI infrastructure, including deploying, securing, and operating AI gateways and services.
• Ability to build secure, scalable, and reliable systems in a fast-paced environment.
• Strong ownership, collaboration, adaptability, and data-informed decision-making.

Nice-to-Haves

• Operator development, CRD automation, eBPF, or Cilium experience.
• Policy-as-code using OPA or Kyverno within secure supply-chain frameworks.
• Exposure to AI-driven internal developer platforms or predictive observability using AI/LLMs.
• Datadog experience for observability, dashboards, and monitoring pipeline integrations.
• Contributions to open-source or CNCF community projects.

Compensation & Benefits

• $650 remote work budget for home-office setup.
• $1,000 annual Learning & Development budget.
• 25 days of annual leave plus 8 US public holidays.
• Birthday leave.
• 16 weeks of fully paid enhanced parental leave for eligible employees.
• Comprehensive medical, dental, and vision coverage with generous premium contributions.
• 401(k) with company match.
• Mental health support through Spill.
• Hybrid work, with the option to work from almost anywhere for up to 90 days per year.