Infrastructure Data Engineer (Kubernetes-Golang)

Infrastructure Data Engineer (Kubernetes-Golang)

W2 Contract

Salary Range: $114,400 - $135,200 per year

Location: Cupertino, CA - Onsite Role

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:

• 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.


• 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.

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

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