Site Reliability Engineer

About This Role

Support and maintain production-grade cloud infrastructure and Kubernetes-based platforms for a client, ensuring high availability, performance, and reliability.

Responsibilities

• Support production-grade cloud infrastructure in major cloud providers (AWS, GCP, or Azure)
• Operate and maintain Kubernetes-based platforms in production environments
• Implement or support monitoring, alerting, and observability solutions (metrics, logs, traces)
• Troubleshoot distributed systems, including performance, availability, and reliability issues
• Participate in on-call rotations, incident response, and root cause analysis

Requirements

• 4+ years of relevant technology experience
• Hands-on experience supporting production-grade cloud infrastructure in AWS, GCP, or Azure
• Practical experience operating and maintaining Kubernetes-based platforms in production environments
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Helm, or CloudFormation
• Working knowledge of CI/CD and GitOps practices, including automated testing and deployment pipelines
• Experience implementing or supporting monitoring, alerting, and observability solutions
• Strong troubleshooting skills across distributed systems
• Proficiency in at least one scripting or programming language (e.g., Python, Go, Bash)
• Experience participating in on-call rotations, incident response, and root cause analysis
• Authorised to work in the US (USC/GC/GC-EAD/H4-EAD/L2S Only)
• Local candidate to Irvine, California, with local DL and local project in CA

Qualifications

• BS degree in Computer Science or related field or equivalent combination of education & experience
• 4+ years of relevant technology experience or equivalent

Nice to Have

• Experience operating multi-cloud environments (AWS, GCP, Azure)
• Experience with event streaming platforms such as Apache Kafka, Kafka Connect, or Amazon MSK
• Familiarity with service mesh technologies (e.g., Istio)
• Exposure to stream processing frameworks (e.g., Apache Flink) and CDC tools such as Debezium
• Experience supporting MLOps or AI infrastructure
• Familiarity with observability standards such as OpenTelemetry and Golden Signals
• Experience working in regulated environments and supporting compliance frameworks (HIPAA, SOC 2, ISO 27001)
• Experience implementing security best practices for cloud-native platforms (IAM, secrets management, RBAC)
• Prior experience in platform engineering or internal developer platforms
• Exposure to cost optimization and FinOps practices in cloud environments

Skills

* Required skills