Lead the design and operation of a fault-tolerant cloud infrastructure, implement infrastructure-as-code, manage Kubernetes reliability, and mentor engineers.
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.
For more information, please visit grail.com
GRAIL is seeking a Staff Site Reliability / DevOps Engineer to lead the reliability, scalability, and security of our cloud-native platform. This role operates at the intersection of infrastructure engineering, platform strategy, and organizational leadership, supporting systems that power large-scale data processing and cutting-edge cancer detection technologies.
You will define and drive infrastructure standards across teams, represent reliability and performance in architecture decisions, and build systems that scale well beyond your direct ownership. This is a highly technical, high-impact role combining hands-on engineering with cross-functional influence and mentorship.
Flexible – MPK or RTP (3 days in office)
This is a hybrid role based in either Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026) or Durham, NC. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site.
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
- 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
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 YearRequired 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
- 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
As the organization evolves, responsibilities may expand or shift to meet business needs. This may include:
The expected, full-time, annual base pay scale for this position is $169K - $224K for Durham, NC. 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.
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
Top Skills
Ansible
AWS
Azure
Bash
CloudFormation
Datadog
GCP
Github Actions
Gitlab Ci
Go
Grafana
Jenkins
Kubernetes
Opentelemetry
Powershell
Prometheus
Python
Terraform
Similar Jobs at GRAIL
.png)
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Senior Quality Engineer will improve quality management systems, facilitate complaint handling and post-market surveillance, and support compliance with regulatory standards.
Top Skills:
21 Cfr 820CapCliaIso 13485Iso 14971Iso 15189IvdrSalesforceVeeva Quality Suites
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
This role involves owning demand forecasting models, conducting analyses, leading cross-functional projects, and communicating insights to stakeholders in a fast-paced healthcare setting.
Top Skills:
DatabricksExcelGoogle SheetsGoogle SlidesPowerPointQlikviewSQLTableau
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Customer Service Coordinator responds to inbound customer communications, documents interactions, and maintains high service standards while adhering to healthcare guidelines.
Top Skills:
Call Center SoftwareCustomer Relationship Management (Crm) SoftwareLaboratory Information Management System (Lims)
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
