Infrastructure Engineer (Kubernetes/Golang)

Overview W2 Contract Salary Range: $114,400 - $135,200 per year We are looking for a highly skilled Kubernetes & Data Infrastructure Engineer with deep expertise in distributed systems, Kubernetes (on-prem), cloud platforms, 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 8+ years of experience in Data Infrastructure (Kubernetes), 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. Desired Skills and Experience Kubernetes, on-prem Kubernetes operations, distributed systems, Golang, concurrent programming, large-scale systems, batch orchestration, migration tooling, data infrastructure, platform engineering, DevOps, SRE, Bash scripting, Python scripting, automation tooling, CI/CD pipelines, Linux systems, container runtimes, networking, Prometheus, Grafana, observability, monitoring and alerting, troubleshooting distributed systems, high availability design, resilience engineering, performance optimization, hybrid cloud, service mesh, Istio, Linkerd, Kubernetes networking, data engineering workflows, batch processing frameworks, GitOps, ArgoCD, Helm, Kustomize, infrastructure security, RBAC, certificate management, cluster hardening, production systems support, cross-team collaboration, operational excellence 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.9s CCPA Privacy Policy at #J-18808-Ljbffr Bayside Solutions