Staff Site Reliability Engineer (SRE) | Dev Ops Engineer #4770

Onsite Expectations You will work on-site full-time at our office located in Menlo Park, California. Beginning in Fall 2026, you will work at our new headquarters in Sunnyvale, California. Reponsibilities Design, build, and operate highly available, fault-tolerant cloud infrastructure across AWS, GCP, and/or Azure Architect and maintain scalable CI/CD pipelines and deployment frameworks for enterprise-grade software delivery Lead infrastructure-as-code adoption and maturity using tools such as Terraform, CloudFormation, and Ansible Own Kubernetes reliability across multi-cluster environments, including upgrades, scaling, and workload lifecycle management Establish and evolve observability platforms (metrics, logs, traces) and define SLO/SLI frameworks across teams Lead incident response for critical outages, drive root cause analysis, and implement preventative improvements Optimize infrastructure for cost, performance, and scalability, partnering closely with engineering and finance stakeholders Define and enforce DevOps, reliability, and security best practices across the organization Partner cross-functionally with engineering, data, QA, security, and IT teams to design resilient systems Mentor engineers and contribute to technical leadership through design reviews, standards, and knowledge sharing These responsibilities summarize the role's primary responsibilities and are not an exhaustive list. They may change at the company's discretion. What Success Looks Like in Your First Year Conduct a comprehensive assessment of the current infrastructure, drive infrastructure-as-code adoption to 95%+ across critical systems, and establish clear health and reliability baselines for the Kubernetes platform Standardize observability using modern tooling and implement an SLO/SLI framework adopted across multiple product teams, including defined SLAs for critical data systems Strengthen security and compliance posture across cloud environments by implementing consistent baselines, launching a compliance-as-code framework, and reducing mean time to resolution (MTTR) for production incidents Define, document, and drive adoption of engineering standards, best practices, and operational guidelines across platform and product teams Develop and align stakeholders on a forward-looking platform reliability and infrastructure roadmap Demonstrate measurable mentorship and technical leadership impact across the engineering organization Evaluate and provide recommendations on emerging infrastructure needs, including support for AI/ML and advanced data workloads

Required Qualifications BS in Computer Science, Engineering, or related field, or equivalent experience 8+ years of experience in Site Reliability Engineering, DevOps, or platform engineering Strong hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) Experience implementing infrastructure-as-code solutions (Terraform, CloudFormation, or similar) Experience designing and operating CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins) Hands-on experience with Kubernetes and containerized systems in production environments Proficiency in scripting or programming for automation (e.g., Python, Go, Bash, or PowerShell) Experience with observability and monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry, Datadog) Strong understanding of networking, security, and distributed systems fundamentals Experience working in regulated environments and familiarity with frameworks such as ISO 27001, NIST, SOC 2, or HIPAA

Preferred Qualifications 10+ years of experience in SRE, DevOps, or infrastructure engineering Experience operating multi-cluster Kubernetes environments (e.g., EKS, GKE) at scale Familiarity with GitOps practices (e.g., ArgoCD, Flux) Experience with data platforms and pipelines (e.g., Kafka, Airflow, Spark, Snowflake, BigQuery) Experience implementing SLO/SLI frameworks and reliability practices across multiple teams Strong background in cloud security, including IAM, zero-trust architecture, and secrets management Experience with compliance-as-code and security tooling (e.g., OPA, Snyk, Checkov) Exposure to AI/ML or large-scale data infrastructure workloads Experience in healthcare, biotech, or other regulated industries Relevant cloud or Kubernetes certifications (e.g., AWS DevOps, CKA/CKS, GCP DevOps)

Physical Demands and Working Environment Standard office environment with hybrid flexibility Participation in on-call rotation and after-hours support for critical systems may be required Frequent collaboration with cross-functional and senior stakeholders Fast-paced, dynamic environment with emphasis on reliability, scalability, and innovation

Adaptability and Growth Expectation As the organization evolves, responsibilities may expand or shift to meet business needs. This may include: Taking on additional technical or leadership responsibilities Participating in cross-functional initiatives and strategic projects Adapting to new technologies, tools, and methodologies Supporting other teams during periods of high demand

The expected, full-time, annual base pay scale for this position is $169K - $224K. Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care. We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges. GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies., GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.