Senior Software Engineer, Evaluation Engine

Vanta's product monitors the security posture of thousands of companies, pulling tens of millions of API calls of data per day, pushing information from hundreds of thousands of laptop agents, and running tests against that data continuously to identify potential security threats. As a Senior Software Engineer at Vanta, you'll drive complex projects across our technical stack, contribute to the technical direction of your team, and mentor other engineers. The Evaluation Engine team builds the runtime platform that powers these checks. We own how Tests are scheduled and executed, how their results are persisted and exposed, and the systems that keep this runtime reliable as Vanta grows. In this role, you'll work on some of the core systems behind Vanta's Tests platform.

Responsibilities

Own complex projects from problem definition and technical design through implementation, rollout, and operation; Design and evolve the backend systems, APIs, and data models used to run Tests and process their results; Improve the reliability, correctness, performance, and observability of the Tests runtime; Investigate complex production issues, identify root causes, and build durable solutions; Simplify existing systems and improve the abstractions and interfaces that other engineers build on; Collaborate with engineers across Vanta on problems that span systems and team boundaries; Give thoughtful feedback in design and code reviews, communicate technical tradeoffs, and help other engineers make good decisions; Mentor other engineers and contribute to the engineering culture of the team

Requirements

Have strong experience building and operating reliable, scalable backend systems in production; Have independently delivered complex technical projects where the problem or solution was not always well defined; Have strong systems thinking and fundamentals in backend system design, APIs, and data modeling; Be a strong debugger who can reason about correctness, reliability, performance, and scalability across complex systems; Make effective technical tradeoffs, take ownership of systems in production, and improve mature systems incrementally; Communicate technical decisions clearly, give thoughtful feedback on designs, and collaborate effectively with engineers across teams; Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact; Physical location: you must reside in, and perform all work exclusively from within, the United States, accessing systems only from U.S. locations; Work Authorization Requirements: You must be authorized to work in the United States without the need for employer sponsorship

Nice to have

Experience with TypeScript, GraphQL, MongoDB, and observability tools such as Datadog

Benefits

Industry-competitive salary and equity; Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans; 16 weeks fully-paid Parental Leave for all new parents; Health & wellness stipend; Remote workspace, internet, and cellphone stipend; Commuter benefits for team members who report to the SF and NYC office; Family planning benefits; Matching 401(k) contribution with immediate vesting; Flexible PTO policy, plus 80 hours of Sick Time; 11 company-paid holidays; Virtual team building activities, lunch and learns, and other company-wide events; Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney