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Salary: USD 176,100 - 308,200 / annual
Veza, now part of ServiceNow, is seeking a Staff Software Engineer to join the Graph Data Platform team. You will serve as a technical leader for the Veza Access Graph, a platform managing over 30 billion access permissions for enterprises. This role combines deep technical contributions with architectural leadership and mentorship.
Key Responsibilities:
Technical Leadership: Act as the technical expert and subject-matter expert (SME) for the Access Graph. Identify and solve complex problems with no established precedent, from architecture through implementation. Define coding standards and engineering best practices. Deliver significant direct technical contributions while independently driving workstream-level design reviews. Set the bar for code quality, testing, documentation, and support.
Roadmap & Execution: Set roadmap and prioritization for workstreams in your area. Drive planning, design, and delegation of key components to individual contributors and stakeholders. Identify gaps, dependencies, and unresolved problems; partner with customers and stakeholders to close them. Operate autonomously, consistently delivering high-quality work on time.
Collaboration & Mentorship: Break complex roadmaps into clear workstreams, milestones, and timelines. Drive alignment across product managers, technical program managers, engineering managers, team leads, individual contributors, and dependency teams. Coach and mentor team leads and individual contributors. Help define interview loops, identify talent gaps, and build coaching plans. Drive collaboration and conflict resolution to unblock projects.
The role focuses on the Veza Access Graph—a platform that maps organizations' entire identity ecosystems across users, groups, roles, policies, permissions, and resources. You'll work on identity and access management at enterprise scale, with real security implications.
Requirements:
- 10+ years of professional backend software development experience, with focus on scalable distributed systems, data management, identity, security, or related domains
- Deep understanding of distributed systems fundamentals: consistency models, partitioning/sharding, replication, consensus, failure modes at scale
- Graph database internals expertise: traversal algorithms, query planning/optimization, indexing strategies (not just querying existing graph APIs)
- Go at a systems-programming level: concurrency patterns, memory/performance tuning, production experience building and testing backend services
- Large-scale data modeling: schema design for graphs handling high cardinality/fan-out
- Experience designing and implementing RESTful APIs in microservice architectures
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization/orchestration (Docker, Kubernetes)
- Familiarity with caching mechanisms in distributed systems
- Track record of technical decisions with org-wide blast radius—not just execution within an assigned mandate
- Experience setting technical direction or standards adopted by multiple teams
- Systems design for correctness and rollback safety in high-stakes infrastructure (access/identity data qualifies)
- Fluency with AI-assisted engineering: using LLM-based tools (Claude Code, Copilot, or similar) to accelerate design exploration, code review, debugging, and documentation, while knowing when to trust generated output versus verifying it
Nice to Have:
- Storage engine or query engine experience (Neo4j internals or comparable)
- Deep knowledge of relational algebra and graph algorithms, with experience across OLTP and OLAP systems
- Track record of using AI tools to multiply personal and team output on complex, large-codebase work
- Identity and access management concepts (RBAC/ABAC, permission graphs, entitlement modeling)
- Security or compliance-adjacent engineering background
- Graduate degree
