Senior Site Reliability Engineer

About the job For our client, we are seeking a Senior Site Reliability Engineer to join the team of a leader in the Information Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner 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: $152,000 – $195,000 annually Responsibilities Design, build, and scale Kubernetes infrastructure for multi-tenant applications Build and operate AI tooling infrastructure and establish secure access for production Optimize and maintain CI/CD pipelines for reliability and speed Implement blue/green and canary deployment strategies Advance Infrastructure as Code practices with Terraform and Helm Operate and optimize Kafka, Flink, and ClickHouse for analytics Lead incident responses and conduct postmortems focusing on root causes Qualifications 6+ years in SRE, DevOps, or Infrastructure roles, specializing in production Kubernetes Hands-on experience integrating AI/LLM tooling into workflows with security considerations Proven success building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.) Strong knowledge of Kubernetes internals and managed services like EKS, GKE, or AKS Expertise in Infrastructure as Code (Terraform, Helm, Pulumi) and GitOps practices Proficient in Python, Bash, or Go programming languages Familiarity with observability tools like Prometheus and Grafana Benefits Competitive salary and stock options Comprehensive health benefits Unlimited paid time off (PTO) Parental leave and tuition reimbursement programs Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs. Desired Skills and Experience Kubernetes, MCP servers, AI tooling, CI/CD (GitHub Actions, Jenkins, GitLab CI), Infrastructure as Code (Terraform, Helm, Pulumi), Python, Bash, Go, Kafka, Flink, ClickHouse, Observability tools (Prometheus, Grafana, Datadog, OpenTelemetry), Multi-region Kubernetes, Multi-cluster Kubernetes, Chaos engineering, Resilience testing, Security scanning, Compliance automation, Policy-as-code, LLM observability/tracing tools (Langsmith, Langfuse), MLOps workflows, Contributions to open-source Kubernetes or CI/CD projects, Container orchestration best practices Given the role focuses heavily on Kubernetes, knowledge of broader container orchestration principles is likely essential., Cloud infrastructure managementSkills related to managing cloud resources effectively, especially on platforms like AWS, Google Cloud, and Azure, are implied due to Kubernetes' integration in cloud environments., Network security protocolsUnderstanding of security mechanisms that protect containerized applications and AI access is necessary, particularly in a production environment with sensitive data and AI integrations.