Software Engineer Agents Governance
Glean is an enterprise AI platform that connects company knowledge and systems to provide permission-aware search, AI assistance, and agents.
Funding history
About Glean
Glean develops enterprise Work AI software. Its platform provides enterprise search, a conversational AI assistant, and tools to build, govern, and orchestrate AI agents using a company’s connected data and permissions.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, launch, and operate backend and platform systems for agent governance. You will solve distributed-systems and security-sensitive problems, make governance decisions auditable, improve operational maturity, and partner across product, security, infrastructure, and customer-facing teams.
Requirements
- BA/BS in Computer Science or a related degree
- 6+ years building production backend, infrastructure, or cloud-native systems
- Coding skills in Go, Python, Java, C++, or a similar language
- Experience with distributed systems, APIs, storage, asynchronous workflows, or control planes
- Knowledge of identity, authorization, tenancy, policy enforcement, auditability, and sensitive-data access
- Ability to reason about failure modes, system boundaries, invariants, and operational tradeoffs
- Technical writing, communication, and collaboration skills
Responsibilities
- Write design documents and make tradeoffs across security, reliability, performance, user experience, and cost
- Build well-tested backend services and platform components
- Solve distributed-systems problems involving consistency, idempotency, retries, ordering, migrations, and safe rollout
- Partner with Product, Security, Infrastructure, and customer-facing teams on scalable capabilities
- Make governance decisions auditable
- Improve monitoring, alerting, debugging, incident response, and operational maturity
- Mentor engineers and shape the platform roadmap
Hiring Process
Brief AI-focused exercise or discussion.