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Uber

Software Engineer II - Engineer

Posted 8 Hours Ago
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In-Office
San Francisco, CA, USA
171K-190K Annually
Mid level
In-Office
San Francisco, CA, USA
171K-190K Annually
Mid level
Build and operate identity security platforms covering non-human identity governance, security knowledge graphs, authentication, authorization, and AI agent identity. Develop distributed systems, ingestion pipelines, detection logic, self-service tooling, and CI/CD infrastructure. Diagnose high-volume production issues while prioritizing correctness, latency, observability, and resilience. Contribute to service-account governance, privileged access management, secretless credentials, and secure agent access policies.
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About the Role
We are hiring a Software Engineer II for the Login Services Platform Engineering team within Core Security Engineering. Our mission is to build the foundational identity platform that Uber's security and infrastructure organization runs on — spanning how we govern non-human identities, how we model identity and access as queryable knowledge, and how we authenticate and authorize both people and autonomous agents at scale.
You'll work across three interconnected platform programs: Non-Human Identity (NHI) Governance, the Security Knowledge Graph, and uSSO / Agentic R&D. Each is foundational infrastructure that other security and engineering teams build on top of — which means the systems you write need to be correct, observable, and safe to depend on.
What You'll Do
Non-Human Identity Governance — Build the tooling and detection logic that governs the sprawling web of permissions between personnel, workloads, agents, service accounts, and infrastructure. Develop inventory and risk-identification pipelines that surface dangerous patterns — runaway group membership, over-privileged service accounts — before they become incidents. Contribute to eliminating personnel misuse of non-human identities by migrating credentials to secretless patterns and onboarding privileged access management (PAM) enforcement.
Security Knowledge Graph — Help build a single, queryable knowledge graph of identity, assets, ownership, and access controls that is becoming foundational to Uber's security infrastructure strategy. Design and ship the ingestion framework, CI/CD pipeline, and self-service tooling (schema browsing, query benchmarking, scaffolding) that let any security or infra team onboard their own data sources without bespoke integration work. Build toward near-real-time ingestion for high-value signals like access and group-membership changes, and extend the graph to support both human consumers (dashboards, investigation tools) and AI agents querying it directly.
uSSO / Agentic R&D — Help evolve uSSO into an identity platform that works natively for both humans and autonomous agents, strengthening authentication as more of Uber's workload shifts to agentic systems acting on behalf of people and services. This means building the underlying platform to be robust and agent-compatible, and defining how Uber issues, verifies, and scopes identity for agents — establishing clear on-behalf-of relationships and policy standards for how agents can safely access production systems and SaaS.
Diagnose and resolve complex distributed-systems problems across these platforms under continuous, high-volume, security-critical traffic — with a focus on correctness, latency, and operational resilience.
Basic Qualifications
4+ years of professional experience as a Software Engineer, with experience designing, building, and operating distributed systems in a production environment.
Ability to take ownership of a well-scoped technical problem, break it into concrete steps, and drive it to completion with appropriate urgency.
Working knowledge of backend infrastructure fundamentals: service architecture, data stores, caching, and asynchronous/event-driven messaging.
Preferred Qualifications
Experience with graph data models and query languages (e.g., Cypher), or with streaming/near-real-time data pipelines (e.g., Kafka, Flink).
Experience with identity and access management concepts: service accounts, privileged access management, non-human identity, OAuth, or SSO.
Interest or experience in emerging problems around AI agent identity and authorization — how autonomous systems should be authenticated, scoped, and audited.
Familiarity with Golang and with modernizing legacy backend systems.

Responsibilities

For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

About Us

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

HQ

Uber San Francisco, California, USA Office

Uber's a hybrid work environment and employees target spending 50% of their time in the office.

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