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LeadershipProduct managementServiceNowREST APIsAWSAzureGoogle CloudDockerKubernetesLLMs
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Confirmed live todayWhen a source last listed this job as open.
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- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
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Sponsorship unknown
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About the role
We are looking for a passionate Staff Software Engineer to join Veza's Graph Data Platform team. You will play a key role in designing, improving, and maintaining the robust and scalable code behind the Veza Access Graph, collaborating closely with cross-functional teams to shape the future of our products and deliver exceptional identity and access management experiences to our customers. This is an exciting opportunity to contribute to the growth and success of a high-impact team while working on cutting-edge technologies.
What You Will Do
Technical Leadership
• Act as the technical expert for the Veza Access Graph, identifying broad challenges — technical, functional, or business — and parsing them into initiatives the org can execute against
• Solve complex problems with no established precedent in the org or the field, from architecture through implementation
• Serve as the dependable subject-matter expert (SME) for your area; define coding standards and engineering best practices for the team
• Identify opportunities to simplify systems, reduce redundancy, and drive large-scale simplification across the platform
• Deliver significant direct technical contributions while independently driving workstream-level design reviews
• Set the bar for code quality, testing, documentation, and support — and share best practices with teammates in a consumable format
Roadmap & Execution
• Set roadmap and prioritization for workstreams in your area; drive planning, design, and delegation of key components to ICs and stakeholders
• Identify gaps, dependencies, and unresolved problems; partner with customers and stakeholders to close them
• Proactively refine technical requirements in alignment with key stakeholders
• Operate autonomously, consistently delivering high-quality work on time
Collaboration & Mentorship
• Break complex roadmaps into clear workstreams, milestones, and timelines, driving alignment and buy-in across PMs, TPMs, EMs, TLs, ICs, and dependency teams
• Represent your team's roadmap and dependencies in company-wide initiatives
• Coach and mentor team leads and ICs; help define interview loops, identify talent gaps, and build coaching plans to close them
• Drive collaboration, conflict resolution, and stakeholder buy-in to unblock projects and ensure successful delivery
• Model ServiceNow's core values and contribute feedback to improve team culture
• 10+ years of professional backend software development experience, with a focus on scalable distributed systems, data management, identity, security, or related domains
• Distributed systems fundamentals — consistency models, partitioning/sharding, replication, consensus, failure modes at scale
• Graph database internals — traversal algorithms, query planning/optimization, indexing strategies (not just querying an existing graph API)
• Go at a systems-programming level — concurrency patterns, memory/performance tuning, and 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 exp
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