Senior Staff Digital Platform Engineer

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are seeking a Senior Staff Digital Platform Engineer to help build and scale the common digital platform, engineering practices, and enablement model that allow teams across Information Sciences, R&D, and business functions to create trusted digital applications faster and more consistently. This role focuses on scaling how digital products are built across the enterprise. You will work with the other Staff Engineers to develop digital products, design reusable platform capabilities, shared services, reference architectures, engineering standards, and developer enablement programs that help domain teams build applications on top of RevMed's data and AI platform. You will also establish trustworthy patterns for AI-native and agentic engineering so AI-assisted and agent-based applications are secure, reliable, auditable, maintainable, and production-ready. This is a cross-functional technical leadership role, partnering with Information Sciences, R&D, Data Product Management, Data Engineering, Platform Engineering, Security and business stakeholders. Key Responsibilities Build and Scale Digital Platform Capabilities Design reusable platform capabilities, shared services, components, application templates, reference implementations, and golden path patterns for digital product development. Define architecture patterns for backend services, APIs, frontend applications, workflow orchestration, data access, identity/access management, auditability, observability, and deployment. Partner with platform, cloud, security, and architecture teams to ensure digital applications are secure, scalable, maintainable, and aligned with enterprise standards. Standardize common patterns for authentication, authorization, logging, monitoring, notifications, workflow services, data access, environment management, and CI/CD. Build communities of practice around modern software engineering, AI-native development, domain-driven design, test-driven development, and platform usage. Establish Trustworthy AI and Agentic Engineering Practices Define standards and guardrails for AI-assisted and agentic application development. Create reusable patterns for RAG, LLM integration, agent workflow orchestration, prompt/tool design, validation workflows, human review, evaluation harnesses, telemetry, and AI observability. Establish quality gates for AI-assisted software, including automated testing, code review, security checks, architectural review, observability, and production-readiness requirements. Partner with Security, Privacy, QA/Validation, Architecture, and Information Sciences to define appropriate controls for regulated or sensitive workflows. Shape the Digital Engineering Operating Model Help define how central platform teams and domain delivery teams collaborate effectively. Establish lightweight governance through architecture reviews, reusable templates, engineering checklists, design patterns, and production-readiness criteria. Create onboarding materials, documentation, technical playbooks, starter kits, training paths, reusable examples, and design review practices. Provide hands-on coaching, office hours, design reviews, and practical guidance to improve developer experience and…