It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
We are looking for a seasoned Staff Backend Engineer to architect, design, develop, optimize, and maintain Access Security features that use AI to improve access intelligence, risk detection, and remediation workflows. You will collaborate with cross-functional teams to build secure, scalable backend services and AI-assisted workflows that can operate reliably in enterprise environments.
What they're looking for
- Applied AI experience: Practical experience integrating AI, ML, or LLM capabilities into production workflows, such as decision support, risk analysis, automation, or security-focused access intelligence
- Experience: 10+ years in backend software development, with deep technical hands-on experience building complex Enterprise production software
- Languages & Architecture: Strong proficiency in Golang and other key programming languages (e.g., Python or Java), with a strong architectural vision
- Data and APIs: Expertise designing and implementing RESTful, GraphQL, and gRPC APIs, with strong proficiency in data modeling, SQL, relational databases such as PostgreSQL, and graph technologies such as Neo4j
- Systems Engineering: Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
- Leadership: Proven track record of leading major, cross-functional technical projects from conception to launch
More about this role
The Access Security team is building the intelligence layer for the ServiceNow Veza Identity solution, helping enterprises answer one of the most important security questions: who and what can access critical resources? We turn complex identity and access data into clear, actionable insights so customers can uncover risky access, prioritize remediation, and reduce exposure before issues become incidents.
We are looking for a seasoned Staff Backend Engineer to architect, design, develop, optimize, and maintain Access Security features that use AI to improve access intelligence, risk detection, and remediation workflows. You will collaborate with cross-functional teams to build secure, scalable backend services and AI-assisted workflows that can operate reliably in enterprise environments. This role requires expertise in Go and Python, practical AI integration experience, and leadership in architecting high-performance services.
- Partner with product, design, and engineering leaders to craft solutions that balance innovation, performance, and business impact.
- Champion the responsible use of LLM frameworks, AI agents, and AI-driven access intelligence to deliver enterprise-ready...
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