Staff Data Platform Software Engineer
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 7, 2026.
Join Veza's Graph Data Platform team as a Staff Data Platform Software Engineer. In this role, you will design, improve, and maintain the code behind the Veza Access Graph, collaborating with cross-functional teams to shape the future of our products. You will act as the technical expert for the Veza Access Graph, solve complex problems, and set the bar for code quality and engineering best practices. This is an exciting opportunity to contribute to the growth and success of a high-impact team while working on cutting-edge technologies.
Missions
- Act as the technical expert for the Veza Access Graph, identifying broad challenges and parsing them into initiatives the organization can execute against.
- Solve complex problems with no established precedent in the organization or the field, from architecture through implementation.
- Set the bar for code quality, testing, documentation, and support - and share best practices with teammates in a consumable format.
Profil recherché
- Someone who thrives with ambiguity: you can take a vague mandate ("make the graph queries faster," "harden this for scale") and turn it into a scoped plan with clear tradeoffs, then execute it independently - while knowing exactly when to loop others in- A strong communicator who can explain why a traversal algorithm is O(n²) to another engineer and why that matters for customer-facing latency to a product manager - without losing precision or condescending to either audience
- 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 against source, tests, or runtime behavior
- 10+ years of professional backend software development experience, with a focus on scalable distributed systems, data management, identity, security, or related domains
- Low-ego and high-trust - you can disagree strongly in a design review and still buy the team a round after it's decided
- A mentor who multiplies the team's effectiveness, not just your own - you review code like you're teaching, you pair when it helps someone level up, and you measure your impact partly by how the engineers around you grow
- Fluent with AI as a working tool, not a crutch - you use it to move faster through exploration, boilerplate, and first drafts, but you still own the correctness of what ships, and you can tell the difference between "the model sounds confident" and "this is actually verified."
- Track record of technical decisions with org-wide blast radius - not just execution within an assigned mandate
- A systems thinker who considers blast radius and reversibility before making changes to critical infrastructure - especially in a domain like ours, where a subtle bug in the access graph has real security consequences
- Someone who treats AI-assisted output the same way you'd treat a junior engineer's PR - useful, often good, but reviewed with the same rigor as anything else before it touches production
- Large-scale data modeling - schema design for graphs handling high cardinality/fan-out
- Experience setting technical direction or standards adopted by multiple teams
- A rigorous problem-solver who instinctively verifies assumptions rather than guessing - you dig into logs, code, and system behavior before proposing a fix, and you're comfortable being wrong in public if it gets the team to the right answer faster
- You Are:
- Familiarity with caching mechanisms in distributed systems
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization / orchestration (Docker, Kubernetes)
- Someone who leaves things better than you found them: documentation, test coverage, runbooks, and team practices all improve because you touched them
- Go at a systems-programming level - concurrency patterns, memory/performance tuning, and production experience building and testing backend services
- Experience designing and implementing RESTful APIs in microservice architectures
- Graph database internals - traversal algorithms, query planning/optimization, indexing strategies (not just querying an existing graph API)
- Systems design for correctness and rollback safety in high-stakes infrastructure (access/identity data qualifies)
- A pleasure to work with - even at 2am during an incident
- Distributed systems fundamentals - consistency models, partitioning/sharding, replication, consensus, failure modes at scale
- Storage engine or query engine experience - having built or deeply modified one (Neo4j internals or a comparable engine)
- Graduate degree
- Security or compliance-adjacent engineering background
- Identity and access management concepts (RBAC/ABAC, permission graphs, entitlement modeling)
- Track record of using AI tools to multiply personal and team output on complex, large-codebase work - beyond autocomplete-level usage
- Deep knowledge of relational algebra and graph algorithms, with experience across OLTP and OLAP systems