Sr. Consultant: Kubernetes Operator & Developer

Job Description A client of Insight Global is seeking an experienced engineer to design and implement a performance-critical Kubernetes Operator. This operator is essential for managing large clusters and must integrate seamlessly with GitOps/Flux-managed resources. The project requires a strong focus on using Go (Golang), leveraging the Kubernetes controller-runtime and Operator SDK to ensure deep integration with Kubernetes internals and support for future enhancements. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Go (Golang): Proven ability to write high-performance, concurrent, and thread-safe applications. Kubernetes Operator Development: Direct experience building, testing, and deploying custom controllers/operators using industry-standard frameworks such as Operator SDK or controller-runtime (Kubebuilder). Kubernetes API: Strong understanding of Kubernetes internals, including: Interacting with core resources like Deployments and StatefulSets (e.g., patching spec.replicas) Designing and implementing Custom Resource Definitions (CRDs) to manage the desired scale state. RESTful API (Go): Ability to build secure, robust, and high-volume services in Go. Concurrency and Queuing: Experience handling concurrent requests efficiently, specifically decoupling high-speed ingestion from slower, rate-limited Kubernetes API updates. Monitoring/Observability: Experience exposing metrics (e.g., Prometheus/OpenMetrics) from the operator to track request load, API latency, and reconciliation times. Security: Experience implementing API authentication and authorization (e.g., API keys, mTLS, or OIDC). GitOps (FluxCD/ArgoCD) Awareness: Understanding of how GitOps tools like FluxCD (specifically HelmRelease objects) perform reconciliation. GitOps Override Strategy: Practical experience implementing techniques to prevent GitOps reconciliation from immediately reverting the operator's scale changes. This includes strategic patching, managing Field Managers, or using specific annotations (e.g., kustomize.toolkit.fluxcd.io/prune: disabled). OpenShift/Kubernetes experience with developing and deploying Operators in Go