Infrastructure/Cloud DevOps - SRE

Bayside Solutions; Cupertino (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Bayside Solutions, Inc. is seeking a highly motivated DevOps / Site Reliability Engineer to support large-scale Kubernetes-based infrastructure and platform operations.

This role is focused on building, automating, and operating highly reliable systems that power critical engineering platforms and services. The role involves operating production environments at scale, developing automation, and improving CI/CD and deployment workflows.

Qualifications

• Hands-on Kubernetes experience with EKS, GKE or AKS.
• Experience running Kubernetes at scale in production.
• Proficient in monitoring/observability with Grafana, Prometheus, or Splunk.
• Strong scripting/automation using Python or Golang.
• Experience with CI/CD pipelines and deployment automation.

Responsibilities

• Design, build, automate, and support scalable Kubernetes platforms and services.
• Operate and troubleshoot production environments at scale.
• Develop automation to improve reliability and efficiency.
• Monitor health, performance, and availability with observability tools.
• Troubleshoot infrastructure, apps, and networking across distributed systems.
• Collaborate with engineers to improve deployment and scalability practices.
• Participate in incident response and root-cause analysis.
• Improve CI/CD workflows and deployment automation.
• Document processes and drive operational excellence.
• Take ownership of projects and deliverables to completion.

Skills

Kubernetes

EKS

GKE

AKS

CI/CD

Python

Golang

Grafana

Prometheus

Splunk

Scripting

SRE basics

Tools

Grafana

Prometheus

Splunk

Job description

We are looking for a highly motivated DevOps / Site Reliability Engineer to support large-scale Kubernetes-based infrastructure and platform operations. This role is focused on building, automating, and operating highly reliable systems that power critical engineering platforms and services.

Duties and Responsibilities:

• Design, build, automate, and support scalable Kubernetes-based platforms and services
• Operate and troubleshoot production environments running at scale
• Develop automation and tooling to improve operational efficiency and reliability
• Monitor platform health, performance, and availability using observability tooling
• Troubleshoot infrastructure, application, and networking issues across distributed systems
• Work closely with engineering teams to improve deployment, reliability, and scalability practices
• Participate in operational support, incident response, and root cause analysis
• Improve CI/CD workflows and deployment automation
• Drive operational excellence through documentation, automation, and process improvements
• Take ownership of projects and independently drive deliverables to completion

Requirements and Qualifications:

• Strong hands-on experience with Kubernetes platforms such as:
• EKS
• GKE
• AKS or similar
• Experience running and supporting applications on Kubernetes at scale
• Strong understanding of containerized infrastructure and distributed systems
• Experience with monitoring and observability tools, preferably:
• Grafana
• Experience with CI/CD pipelines and deployment automation
• Experience with Splunk logging, log analysis, and troubleshooting
• Strong scripting and automation experience using Python and/or Golang
• Experience troubleshooting production systems under pressure
• Strong communication and collaboration skills
• Self-starter mentality with strong ownership and accountability

Preferred Qualifications

• Experience operating Ray clusters/services
• Strong networking and troubleshooting experience
• Experience with cloud infrastructure and platform services
• Experience with Infrastructure as Code and automation frameworks
• Familiarity with SRE principles and operational best practices

Desired Skills and Experience

Kubernetes, Amazon EKS, Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS), DevOps, Site Reliability Engineering (SRE), Cloud Infrastructure, Containerized Infrastructure, Distributed Systems, Platform Engineering, Production Operations, CI/CD, Deployment Automation, Infrastructure as Code (IaC), Python, Golang, Grafana, Prometheus, Splunk, Observability, Log Analysis, Incident Response, Root Cause Analysis, Network Troubleshooting, Ray Clusters, Systems Automation, Performance Monitoring, Scalability, High Availability, Operational Excellence, Technical Documentation, Cross-Functional Collaboration, Project Ownership

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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