Note: The job is a remote job and is open to candidates in USA. Bayside Solutions is recruiting for an Infrastructure Platform Engineer: DevOps to support large-scale Kubernetes-based infrastructure and platform operations. The role focuses on building, automating, and operating reliable systems, improving deployment and observability, and supporting incident response and root cause analysis.
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
Skills
- Strong hands-on experience with Kubernetes platforms such as:
- EKS
- GKE
- AKS or similar
- Experience running and supporting applications on Kubernetes at scale
- Strong Python Coding Skills (Infrastructure as Code and Tools Building)
- Strong understanding of containerized infrastructure and distributed systems
- Experience with monitoring and observability tools, preferably:
- Grafana
- Prometheus
- 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
- Candidates for this position must qualify as a W2 candidate
- 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
- Experience supporting high-scale production systems
- Familiarity with SRE principles and operational best practices
- Bayside Solutions, Inc. is not able to sponsor any candidates at this time
Benefits
- Remote role
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