Staff Full Stack/Back End Engineer (NodeJS)
About Deep OriginDeep Origin is a biotech startup building an operating system for science that transforms how life science research is conducted. Led by Michael Antonov, co-founder of Oculus, and backed by Formic Ventures, we are redefining the infrastructure behind modern drug discovery. Our AI-driven platform enables scientists to accelerate discovery, reduce cost, and bring breakthrough innovations to life faster. As we scale, overall excellence is a critical lever in advancing our mission to dramatically reduce disease and extend human healthspan.Role DescriptionWe are seeking a talented and experienced Staff Engineer to join our dynamic team. You will be a key member of the software engineering team, building our key functionality and integrating with key partners. You will have ownership in key software feature areas and their architectural design, as well as software implementation with a high level of independence and impact. You will work closely with cross-functional teams to create robust, user-friendly services and applications that drive the efficiency and effectiveness of biologists and researchers in their scientific endeavors.Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Requirements10+ years designing, building, and operating complex, highly scalable distributed systems5+ years hands-on with TypeScript/JavaScript, and Node.jsStrong experience with both relational (e.g. Postgres) and NoSQL (e.g. MongoDB) data storesExperience building platforms from an early stage and scaling them to high load (10,000+ DAU)Experience designing and operating multi-tenant systems with complex datasets and relationsStaff-level technical leadership: setting direction across teams, driving design reviews, mentorship and code reviewFluent with AI-assisted development tools (e.g. Claude Code, Cursor), applying them to accelerate delivery without compromising code quality or architectureSystematic problem-solver with a strong sense of ownership, effective independently and on a teamExperience in high-energy startups with fast delivery cyclesMust work onsite at least 3 days a weekNice to haveHands-on Kubernetes and cloud infrastructure experience, including cluster operations and operatorsExperience with scientific, biotech, or research-heavy data platformsResponsibilities: Own the architecture and delivery of major systems, from design to production, prioritizing sound long-term design over short-term implementationBuild production services that handle complex scientific data at scale, with clean APIs and solid testingSet technical direction across teams and lead design reviewsOperate distributed systems on Kubernetes with an eye on reliability, performance, and costTurn rough requirements from product and science teams into robust implementationsDebug across the full stack, from app logic to production workflow failuresRaise the bar through code review and mentorshipSet the standard for AI-assisted engineeringValues & Working StyleOwnership mindset — you take responsibility for building systems that redefine how drug safety is evaluatedComfortable navigating ambiguity in a fast-moving, high-impact environmentStrong collaboration across science, engineering, and business teamsBenefitsCompetitive compensation package with meaningful equityComprehensive health, dental, and vision coverageAnnual team gatherings and company eventsFree lunch, snacks, beverages, and onsite gym access (for in-office employees)Opportunity to shape the future of health, longevity, and our ability to simulate life