Senior Software Engineer - Trust and Telemetry
Software Engineering
United States · Canada · Remote
As a Senior Software Engineer on TnT, you'll take real ownership of features and systems across both domains. You'll work closely with product, design, and partner engineering teams to ship meaningful improvements to enterprise customers.
In this role, you will:
Own a TnT subdomain: Take technical responsibility for a component—whether it's our OAuth/SSO flows, audit logging infrastructure, telemetry ingestion pipelines, or fine-grained permissions model.
Drive features end-to-end: Write design docs, get alignment, implement, test, deploy, and monitor your work in production.
Build for enterprise reliability: Design with observability, rollback paths, and incremental delivery in mind. Participate in on-call and postmortems.
Collaborate across functions: Work directly with Product and Design to scope and prioritize work. Communicate clearly and async-first.
Grow as an engineer: Contribute to code reviews, design discussions, and technical standards. Receive and give constructive feedback within the team.
The Trust & Telemetry team is organized around two domains:
Telemetry: We surface usage, performance, and schema insights that help teams safely evolve and scale their graphs. This means owning the pipelines, APIs, and UX that translate raw telemetry data into actionable visibility.
Trust: We own identity, access management, and auditing for GraphOS. From OAuth and SSO to fine-grained role-based tokens and audit logs, we make sure the right people can do the right things—and that there's a record when they do.
Required Skills
2+ years of experience designing and building backend services in production
Solid understanding of distributed systems fundamentals: consistency, failure modes, and resiliency patterns
Experience building APIs and data models that other teams or customers depend on
Proficiency in at least one modern backend language (TypeScript/Node, Go, Rust, Java, or similar)
Experience with relational databases and at least one of: key-value, document, or time-series stores
Hands-on ownership of services in production: on-call, incident response, postmortems
Familiarity with observability tooling (metrics, tracing, logging) and SLOs
Strong written and verbal communication, especially for design docs and async collaboration
Ability to work with Product and Design to define scope, trade-offs, and delivery increments
Bonus
Familiarity with GraphQL, GraphOS, or API gateways
Experience with OAuth 2.0, OIDC, SAML, or enterprise SSO flows
Experience with IAM systems, RBAC/ABAC models, or audit logging
Familiarity with AI agents, tool/function calling, or agentic middleware
Experience with cloud-native architectures (Kubernetes, containers, service meshes)
Background in security engineering, compliance tooling, or enterprise identity