Senior Site Reliability Engineer

Summary

Join our team as a Senior Site Reliability Engineer (SRE)! This remote role requires expertise in managing large-scale, data-intensive systems and GCP. You will administer and maintain cloud infrastructure, implement CI/CD pipelines, and build scalable infrastructure for ML model training and real-time inference. Strong troubleshooting and debugging skills are essential. The position demands experience with cloud-native databases, machine learning platforms, and cloud observability tools. You will collaborate with ML and data teams to ensure system reliability and performance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering, including hands-on operational support and participation in on-call rotations
• Proven track record of managing large-scale applications, distributed systems, and networked services in production
• Minimum 5+ years of hands-on experience in cloud environments
• Deep understanding of Google Cloud Platform (GCP) — especially GKE, GCE, networking, and security
• Strong troubleshooting and debugging skills across systems and networks
• Cloud-native databases and storage — including Google Cloud Storage (GCS), Cloud SQL, Spanner, and Firestore
• Machine Learning and AI platforms — such as Vertex AI, Generative AI tools, BigQuery, Looker, and DataProc
• Cloud observability and monitoring — hands-on experience with OpenTelemetry, tracing, metrics, and distributed logging systems

Responsibilities

• Administer and optimize cloud-native databases and storage platforms, including Google Cloud Storage (GCS), Cloud SQL, Spanner, and Firestore
• Support and maintain machine learning and analytics platforms, including Vertex AI, Generative AI, BigQuery, Looker, and Dataproc, ensuring scalable and reliable infrastructure for data pipelines and model workflows
• Implement and manage cloud observability using OpenTelemetry and native GCP tools to enable real-time monitoring, distributed tracing, and incident resolution
• Support and maintain large-scale applications, computer systems, and networks in production environments
• Administer and troubleshoot Linux-based systems, including core networking protocols such as TCP/IP, HTTP, MAIL protocols, DNS, and manage components like content delivery networks (CDNs) and load balancers
• Manage and operate GCP services, including Kubernetes Engine (GKE), Compute Engine (GCE), Networking, Security, CI/CD pipelines, and other common Cloud technologies
• Build and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Helm Charts
• Develop and deploy services using Python, Golang, or Java, and implement CI/CD pipelines to ensure consistent, reliable delivery of applications and infrastructure components

Benefits

• The anticipated starting pay range for Colorado is: $116,100 - $170,280
• The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $123,600 - $181,280
• The anticipated starting pay range for California, New York City and Washington is: $135,300 - $198,440
• Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments
• Remote work