Staff Software Development Engineer (Lab Technology) #4907

GRAIL is a healthcare company pioneering new technologies to advance early cancer detection. They are seeking a Staff Software Engineer to design and operate software systems for automated laboratories, collaborating across disciplines to enhance laboratory workflows and reliability.

Responsibilities:

• As a Staff Software Engineer, you'll design, build, and operate the software systems that power GRAIL's automated laboratories
• You'll work across services including laboratory workflow orchestration, LIMS, quality decision systems, and laboratory visibility tools that enable operators to safely process patient samples at scale
• The challenges you'll solve extend well beyond traditional backend software development
• You'll collaborate closely with laboratory operators, scientists, automation engineers, and software engineers to understand complex laboratory workflows and build systems that remain reliable under real-world operating conditions
• This work requires balancing reliability, scalability, regulatory compliance, and operational simplicity
• You'll design software that recovers gracefully from failures, supports 24-hour laboratory operations, improves operator efficiency, and enables the laboratory to continue evolving as new assays and technologies are introduced
• You'll help build resilient distributed systems that interact with physical laboratory equipment, support software-only disaster recovery, and continuously improve the intelligence and efficiency of the laboratory platform

Requirements:

• Strong software engineering fundamentals with experience designing and operating distributed systems
• Experience building production software using one or more modern programming languages such as Python or Go
• Experience with modern frontend development using React and TypeScript
• Experience developing cloud-native applications on AWS
• Experience building APIs and distributed services using technologies such as REST and/or gRPC
• Experience with Kubernetes and cloud-native deployment practices
• Strong understanding of software quality, testing, observability, and operational ownership
• Excellent communication skills and the ability to collaborate across engineering, science, and laboratory operations
• Experience with observability tooling (Prometheus/Grafana, structured logging) and on-call ownership