Staff Site Reliability Engineer

Revolution Medicines•Redwood City, CA

17h•$164,000 - $205,000•Hybrid

About The Position

Revolution Medicines is seeking a Staff Site Reliability Engineer to build and operate reliable cloud infrastructure through hands-on software engineering, deployment automation, and production troubleshooting. Reporting to the Senior Director of Cloud Operations, this role will improve infrastructure performance and cost efficiency while supporting research, analytics, and enterprise operations in partnership with application, data, scientific, platform, Cloud Infrastructure, Security, and IT teams. The engineer will use AI-assisted and agentic tools for infrastructure design and Infrastructure as Code (IaC) development, testing, and maintenance, while applying independent technical judgment and disciplined production controls. The role focuses on production observability, automation, Kubernetes and cloud operations, incident and disaster recovery, cross-team architecture and reliability improvements, FinOps, service-level objectives, production readiness, and secure review of human- and AI-generated changes. The position is onsite at Revolution Medicines’ headquarters in Redwood City, California; the posting also includes the designation #LI-Hybrid. The base pay salary range for this full-time position is $164,000–$205,000 USD, adjusted for local market and individual qualifications.

Requirements

Bachelor of Science in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Eight or more years of experience in SRE, software engineering, platform engineering, or production systems operations.
Demonstrated production reliability improvements through service objectives, monitoring, incident management, and prevention of recurring failures.
Strong hands-on Python, Go, or comparable programming experience, including maintained operational tools, automated tests, code review, debugging, and safe failure handling.
Strong hands-on experience with Terraform or comparable Infrastructure as Code tools, version control, automated testing, and CI/CD, including building and testing disaster recovery environments.
Production Kubernetes experience and strong Linux, networking, and distributed-systems troubleshooting skills.
Production experience in AWS or Azure, ability to work across both, and strong practical cloud security experience.
Hands-on experience using AI-assisted development or agentic workflows to design or manage infrastructure and author IaC, with evidence of testing, secure access controls, review, and independent validation of generated changes.
Experience pairing with engineering teams on deployments, system design, and performance, with measurable reliability or efficiency outcomes.
Demonstrated cloud cost analysis and optimization experience.
Independent technical judgment and ability to prioritize based on service impact, risk, and engineering effort.
Ability to influence cross-team decisions through clear communication, listening, and collaboration.

Nice To Haves

Experience with EKS or AKS, Helm, and GitOps deployment tools.
Experience with OpenTelemetry, Prometheus, Grafana, or comparable observability platforms.
Advanced resilience testing and capacity modeling experience.
FinOps tooling, showback, forecasting, and commitment planning with Finance.
Experience with Databricks, data pipelines, batch processing, or scientific platforms.
Experience building self-service operational capabilities with measured toil reduction.
Relevant advanced cloud, security, or Kubernetes certifications.

Responsibilities

Build metrics, logs, traces, dashboards, and actionable alerts that reveal service health and user impact.
Use profiling, load testing, and performance audits to identify bottlenecks across applications, containers, networks, cloud services, and data platforms.
Build and maintain software and AI-assisted or agentic workflows for infrastructure design, deployment, diagnostics, remediation, and configuration management.
Author, test, and maintain Infrastructure as Code; automate Kubernetes upgrades, deployments, autoscaling, and workload isolation; and strengthen CI/CD and GitOps validation, controlled releases, and rollback.
Measure and reduce operational toil.
Lead incident recovery and disaster recovery engineering, including technical investigation and recovery within agreed support arrangements, constructive reviews, and completion of corrective actions.
Build reproducible recovery environments through IaC with Cloud Infrastructure, maintain runbooks, and test restoration, failover, and failback against agreed recovery time and recovery point objectives.
Pair with engineering teams on cloud architecture, deployment design, resilience, dependencies, retries, timeouts, resource limits, and recovery behavior.
Improve Kubernetes networking, access controls, and troubleshooting, as well as Databricks and managed-platform reliability.
Use AI-assisted design exploration alongside engineering analysis to optimize capacity and performance, and mentor engineers through practical reviews and pairing.
Lead FinOps across cloud and Databricks, including cost visibility, allocation, usage reporting, budgets, forecasting, anomaly investigation, and optimization priorities.
Partner with Finance on showback and commitment planning, and with Cloud Infrastructure and workload owners on measurable savings that preserve reliability, performance, and security.
Define service-level indicators and objectives with service owners, using error budgets to inform release decisions and reliability improvements.
Establish production-readiness reviews, clear service ownership, and shared standards with engineering teams.
Critically review architectures, vendor recommendations, and human- or AI-generated changes; validate agentic workflows and outputs through testing, peer review, and controlled releases.
Apply least privilege, secrets management, network controls, and auditability to infrastructure and agent access, retaining human accountability for production decisions.