Senior Site Reliability Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Develop tools to enhance SRE observability.

• Engage in the Kubernetes migration process, including VMI setup and troubleshooting.

• Quickly diagnose and address incidents and issues reported by users.

• Automate, script, and create tools for both new and existing scripts to achieve full automation of daily activities.

• Provide support for services prior to launch through system design consultation, software platform and framework development, capacity management, and launch evaluations.

• Take part in an on-call rotation to support production systems.

• Propel tools and service development to uphold and enhance service SLOs.

• Collaborate with Service Owners to ensure service reliability.

• Spearhead production enhancements, including change management, post-mortem analyses, workflow processes, and software automation.

⛳️ Requirements

• MS or BS in Computer Science, Engineering, or a related discipline, or equivalent experience.

• Over 8 years of experience in Site Reliability Engineering with large-scale distributed microservices in production.

• Strong expertise in Kubernetes, including complex, highly available VMI configurations.

• Proven experience in leading production improvements, change management, post-mortems, workflow processes, and software automation.

• Strong problem-solving skills and root-cause analysis capabilities.

• Familiarity with monitoring systems such as Datadog, Prometheus, Alertmanager, or similar tools.

• Experience managing multi-region cloud deployments on AWS, GCP, or Azure.

• Proficiency in designing and managing deployment pipelines using GitHub Actions, GitLab CI, or ArgoCD.

• Production-level coding skills in Go, Python, or robust Bash scripting.

• Required hands-on experience in production on-call roles responding to and addressing high-severity infrastructure alerts and service degradations.

• Excellent communication, presentation, interpersonal, and analytical skills.

• Experience with automated anomaly detection, log clustering tools, or LLM-assisted debugging platforms is advantageous.

• Comfortable utilizing AI daily as an SRE.

• Previous experience as an SRE or Service Engineer is a plus.

🏝️ Benefits

• Competitive salary package.

• Equity.

• Comprehensive benefits.