Note: The job is a remote job and is open to candidates in USA. Veza is the pioneer in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. They are seeking a Senior Staff Software Engineer to serve as the technical visionary and architect for their multi-agent harness platform, focusing on defining architectural patterns and strategic direction for intelligent agents.
Responsibilities
- Architect & Vision: Define the technical roadmap and architecture for Access AI Platform, ensuring high availability, low latency, and deterministic reliability
- System Design: Lead the design of advanced agent orchestration layers, multi-agent communication, and sophisticated context/memory management
- Productionize at Scale: Transition cutting-edge LLM capabilities and MCP frameworks from experimental prototypes into hardened, enterprise-grade pipelines within our identity access infrastructure
- Technical Leadership: Act as a force multiplier across the engineering organization. Define engineering excellence, establish robust test/evaluation frameworks for non-deterministic AI systems, and mentor senior and staff-level engineers
- Cross-Functional Influence: Partner closely with Product, Security, and Executive leadership to align technical investments with long-term business strategy, pioneering new capabilities from ideation to global deployment
Skills
- Education: Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field
- Experience: 10+ years of professional software engineering experience, with a proven track record of technical leadership at a Staff or Senior Staff level
- 2+ years of hands-on experience in architectural design and production deployment of GenAI technologies, multi-agent systems, LLM orchestration frameworks (e.g., LangChain, AutoGen), or Model Context Protocols (MCP)
- Technical Mastery: Expert-level proficiency in Python and Golang (or Java), with deep expertise in distributed systems, microservices architectures, and high-throughput API design
- Deep understanding of Cloud Platforms (AWS, Azure, Google Cloud Platform) with experience designing or integrating with enterprise Identity and Access Management (IAM) environments and security fabrics
- Execution & Ownership: A strong sense of product ownership. You have a history of taking ambiguous, 0-to-1 AI initiatives and scaling them to 1-to-100 enterprise realities
- Communication: Exceptional communication skills with a demonstrated ability to distill complex AI reasoning and architectural trade-offs into clear, strategic narratives for both engineering teams and executive boardrooms
Benefits
- Equity (when applicable)
- Variable/incentive compensation
- Health plans, including flexible spending accounts
- A 401(k) Plan with company match
- ESPP
- Matching donations
- A flexible time away plan
- Family leave programs
Company Overview
Company H1B Sponsorship