Infrastructure Data Engineer (Kubernetes-Golang)

W2 Contract

Salary Range: $135,200 - $156,000 per year

Location: Cupertino, CA - Remote

Job Summary:

We are looking for a highly skilled Senior Kubernetes & Data Infrastructure Engineer with deep expertise in distributed systems, Kubernetes (on-prem), cloud platforms, API development, and Golang-based software engineering. The ideal candidate has hands-on experience building and operating large-scale distributed systems, developing migration tooling, and supporting production-grade Kubernetes clusters.

Duties and Responsibilities:

• Own daily operational support for on-premise Kubernetes clusters, ensuring reliability, availability, scalability, and performance.
• Develop and maintain a large-scale batch orchestration platform running 100,000+ jobs per day.
• Build migration tooling to facilitate the transfer of job configurations and workloads to new data platforms.
• Design and implement distributed data systems for high availability, resilience, and performance.
• Write efficient, high-performance Golang code for automation, tooling, and platform services.
• Create operational scripts and tooling (Bash, Python) for automation, observability, and infrastructure workflows.
• Implement and improve CI/CD pipelines and DevOps standards across Kubernetes environments.
• Set up, manage, and optimize Prometheus, Grafana, and monitoring/alerting pipelines for full-stack observability.
• Troubleshoot distributed systems and Kubernetes workloads in production environments.
• Participate in system design interviews, Kubernetes design reviews, and cross-team technical discussions.
• Collaborate with platform, SRE, and data engineering teams to enhance platform resilience and operational efficiency.

Requirements and Qualifications:

• 4–8+ years of experience in Data Infrastructure, Platform Engineering, DevOps, or SRE roles.
• Deep hands-on operational experience with Kubernetes, especially in on-premise environments.
• Strong proficiency in Golang development (core language + concurrency + distributed systems patterns).
• Experience designing and supporting distributed systems at scale.
• Strong scripting skills (Bash/Shell; Python is a plus).
• Experience with Prometheus, Grafana, alerting systems, and end-to-end observability stacks.
• Solid understanding of Linux systems, networking, container runtimes, and CI/CD pipelines.
• Experience building or maintaining systems that run large-scale workloads (tens of thousands of jobs).
• Strong analytical, debugging, and distributed system troubleshooting skills.
• Excellent communication skills and ability to work across engineering teams.
• High ownership mindset with a focus on reliability, sustainability, and operational excellence.
• Ability to work in a fast-paced, high-impact environment.

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 or batch processing frameworks.
• Experience with GitOps tooling (ArgoCD, Helm, Kustomize).
• Knowledge of infrastructure security, RBAC, certificates, and cluster hardening.
• Previous experience supporting critical production systems at a very large scale.

Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. 

Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com.