ServiceNow
Staff Data Platform Software Engineer - veza
$176K–$308K
Santa Clara, CALIFORNIA, United States · Hybrid · Staff · Full-time · Posted Oct 16, 2026
- Experience
- 10+ years of professional backend software development experience.
- Visa sponsorship
- For roles requiring access to export-controlled technology, employment is contingent on obtaining any required export license or other government approval.
About the job
Leads technical design and delivery for Veza’s Graph Data Platform, building and improving the scalable backend behind the Access Graph and guiding engineering direction across teams.
What you'll do
- Set technical direction, architecture, standards, and roadmap priorities for Graph Data Platform workstreams.
- Design and implement scalable distributed systems and graph data capabilities, while driving design reviews and quality practices.
- Coordinate delivery across teams and stakeholders, and mentor engineers and team leads.
What they ask for
- 10+ years of professional backend software development experience, focused on scalable distributed systems, data management, identity, security, or related domains.
- Expertise in distributed systems fundamentals, graph database internals, Go at a systems-programming level, and large-scale graph data modeling.
- Experience with RESTful APIs in microservice architectures; cloud platforms (AWS, Azure, or GCP); Docker and Kubernetes; and distributed caching.
- Record of making technical decisions with org-wide impact and setting standards across multiple teams; experience designing systems for correctness and rollback safety.
Nice to have
- Storage or query engine experience; knowledge of relational algebra and graph algorithms across OLTP and OLAP systems.
- Experience using AI tools to increase individual or team output; identity and access management knowledge; security or compliance-adjacent background; graduate degree.
Pay
$176,100 - $308,200 USD base salary
Tools
Go, AWS, Azure, GCP, Docker, Kubernetes, Claude Code, Copilot
AI focus
Uses LLM-based tools to accelerate design exploration, code review, debugging, and documentation, while verifying generated output. AI-tool experience that multiplies individual or team output is preferred.
Model-written summary · the original posting is authoritative