Infrastructure Engineer (Kubernetes/Golang)

Role Overview

Infrastructure Engineer focused on Kubernetes (on-prem) and Golang for data infrastructure and distributed systems. You will own production operations for large-scale Kubernetes clusters and build tooling and platforms that support high-volume batch processing.

Responsibilities

• Provide daily operational support for on-prem Kubernetes clusters (reliability, availability, scalability, performance).
• Develop and maintain a batch orchestration platform running 100,000+ jobs/day.
• Build migration tooling to move job configurations and workloads to new data platforms.
• Design and implement distributed data systems for high availability, resilience, and performance.
• Write high-performance Go (including concurrency and distributed systems patterns) for automation and platform services.
• Create operational automation scripts and tooling using Bash and Python for observability and infrastructure workflows.
• Implement and improve CI/CD pipelines and DevOps standards across Kubernetes environments.
• Set up and optimize Prometheus/Grafana and monitoring/alerting for full-stack observability.
• Troubleshoot Kubernetes workloads and distributed systems in production.
• Participate in system design reviews and cross-team technical discussions.
• Collaborate with Platform, SRE, and Data Engineering teams to improve resilience and operational efficiency.

Requirements

• 8+ years of experience in Data Infrastructure (Kubernetes), Platform Engineering, DevOps, or SRE.
• Deep hands-on Kubernetes operational experience, especially on-prem.
• Strong Golang proficiency (core language, concurrency, distributed systems patterns).
• Experience designing/supporting distributed systems at scale.
• Strong scripting skills (Bash/Shell; Python is a plus).
• Experience with Prometheus, Grafana, and end-to-end observability.
• Solid understanding of Linux, networking, container runtimes, and CI/CD.
• Experience operating systems handling tens of thousands of jobs.
• Strong debugging/analytical skills for distributed systems.
• Excellent communication and cross-team collaboration.
• High ownership with a focus on reliability and operational excellence.

Preferred Qualifications

• Experience with hybrid cloud + on-prem Kubernetes architectures.
• Familiarity with service mesh (Istio, Linkerd) and advanced Kubernetes networking.
• Exposure to data engineering workflows and/or batch processing frameworks.
• Experience with GitOps tooling (ArgoCD, Helm, Kustomize).
• Knowledge of infrastructure security: RBAC, certificates, cluster hardening.
• Experience supporting critical production systems at very large scale.

Location / Work Arrangement

• Cupertino, CA and Remote.