Senior Site Reliability Engineer

About the role

This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery, partnering with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment. Location: Remote - US based candidates only, no visa sponsorship available. Compensation: $197,500 – $225,000 annually.

Responsibilities

• Design, build, and scale Kubernetes infrastructure for secure, high-availability applications
• Build and operate AI tooling infrastructure, establishing secure AI access and guardrails
• Optimize and maintain CI/CD pipelines for reliability and speed
• Implement progressive delivery strategies like blue/green and canary deployments
• Advance Infrastructure as Code practices with reusable patterns
• Operate and optimize streaming and analytics infrastructure including Kafka and Flink
• Lead incident response and postmortems, ensuring root causes are tackled

Qualifications

• 6+ years in SRE, DevOps, or Infrastructure roles with significant production Kubernetes experience
• Hands-on experience integrating AI/LLM tooling into workflows with an understanding of security and governance
• Proven success building CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools
• Strong knowledge of Kubernetes internals and managed services like EKS, GKE, or AKS
• Expertise with Infrastructure as Code tools like Terraform, Helm, and GitOps practices
• Proficient programming skills in Python, Bash, or Go
• Knowledge of observability tooling such as Prometheus, Grafana, or Datadog

Benefits

• Competitive salary and stock options
• Health benefits and unlimited PTO
• Parental leave and tuition reimbursements
• Access to annual performance-based incentive compensation and equity