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Software Engineer II - Security Review Automation

Uber Seattle, WA

Seattle, WA

Today

$171k - $190k/yr Full time Backend Developer Ai Red Teaming Application Security

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Job Description

Uber’s Offensive Security team is seeking a Software Engineer II to build security review automation and AI-powered tools for continuous, scalable security testing.

Responsibilities

Build security platforms and automation across SAST, DAST, SCA, penetration testing, AI red teaming, security design reviews, and threat modeling
Develop AI-powered agents and workflows that analyze source code and technical designs, orchestrate security assessments, generate test cases, and validate findings
Partner with security engineers to turn expertise into repeatable, scalable capabilities
Build and scale foundational infrastructure and data pipelines, balancing technical debt with shifting priorities while preserving long-term impact
Integrate security capabilities with source control, CI/CD pipelines, service inventories, and issue-tracking systems to support continuous and on-demand testing
Create shared services for assessment orchestration, findings normalization and deduplication, and remediation tracking to reduce duplicate findings and manual effort for security and engineering teams
Design, develop, and maintain high-quality code for features of moderate complexity and projects with multiple dependencies
Develop evaluation frameworks and operational safeguards for AI-driven security workflows, including accuracy, coverage, latency, and cost, plus access controls, execution boundaries, and auditability
Own the software lifecycle end-to-end, from drafting design docs to debugging production issues and managing incidents independently
Collaborate across Product, Data Science, and Ops to convert ambiguous requirements into simple, reliable system designs
Support engineering best practices through quality code reviews, comprehensive tests, and performance improvements
Navigate internal complexity and stakeholder inquiries to remove blockers and ensure production environment reliability

Requirements

3+ years of professional software engineering experience in backend development, distributed systems, or data engineering
Proficiency in one or more object-oriented or functional programming languages (examples: Go, Java, Python, C++)
Experience with data modeling, query optimization, and translating customer problems into system design
Bachelor’s Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field
Experience writing tests to verify functionality and establishing monitoring systems to ensure code stability
Experience building APIs, service integrations, or automated workflows that connect multiple systems in production
Understanding of secure software development fundamentals: authentication, authorization, data protection, and safe handling of credentials
Familiarity with source control, CI/CD, and automated testing practices for reliable software delivery

Technologies

Go, Java, Python, C++
SAST, DAST, SCA
CI/CD, Spark, Flink, Kafka
LLMs

Preferred Qualifications

Experience building agentic security workflows that gather technical context, reason across multiple data sources, invoke security tools, validate conclusions, and produce evidence-backed assessments
Experience applying frontier LLMs to complex security reasoning, including architecture analysis, attack-path identification, threat enumeration, vulnerability discovery, and security control validation
Experience developing multi-agent or multi-model architectures (specialized agents, model routing, model-as-judge) to improve accuracy, coverage, and confidence
Experience identifying and reducing code-level technical debt in high-load distributed systems
Background in mentoring new team members and contributing to engineering culture
Proficiency with Big Data frameworks (e.g., Spark, Flink) or real-time streaming (e.g., Kafka)
Demonstrated ability to exercise sound judgment on engineering trade-offs for complex systems
Experience building security tools or automation in one or more domains: SAST, DAST, SCA, penetration testing, AI red teaming, security design reviews, or threat modeling
Experience developing LLM-powered applications or agentic workflows, including model integration, tool execution, context retrieval, and orchestration
Experience building evaluation frameworks for AI-driven systems, including reproducible benchmarks, regression testing, and output quality and reliability measurement
Familiarity with source-code analysis, dependency graphs, API testing, or isolated execution environments for automated security testing
Experience using AI-assisted development tools to accelerate implementation, testing, debugging, and maintenance

Location

Seattle, WA (onsite)

Compensation

Base salary range: USD 171,000 - 190,000 per year

Benefits

Eligible to participate in Uber’s bonus program (for all US locations)
May be offered an equity award and other types of compensation
401(k) plan eligibility for all full-time employees
Various benefits (details not provided)

About the Role and Team

Member of Uber’s Offensive Security team building security tools, platforms, and AI-powered automation to enable security testing and risk reduction at Uber scale
Focus on building for messy, global systems with imperfect information, end-to-end ownership, and reliability under high-load conditions

Workplace Requirements

Unless approved for full remote work, employees must spend at least 50% of their time in-office
Some roles (e.g., at greenlight hubs) may require full-time in-office presence

Education: Bachelor’s Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field

Minimum Experience: 3 years

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