Senior Backend Engineer - Identity Security & Agentic Systems

Requirements

• 5+ years of backend development experience.
• Strong proficiency in one or more programming languages, such as Python, Golang, or Java.
• Experience designing and implementing RESTful APIs and Microservices Architectures.
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and familiarity with IAM services and features.
• Curiosity and/or experience with GenAI technologies, multi-agent systems, or prompt orchestration.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
• Strong sense of Product feature Ownership - from Ideation to Deployment
• Compensation Disclosure
• $154,000 - $210,000 USD
• Our Culture
• We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:
• Ownership Mindset
• Act with Integrity
• Guardians of our Customers
• Opinionated Humility
• Build Trust, Earn Trust
• About Veza

Benefits

Additional Information

At Veza, we're building the next generation of Access Identity Security - and we're bringing GenAI into the core of that mission. We're seeking a Senior Backend Engineer who is excited to work on multi-agent systems, LLM-based automation, and Model Context Protocols (MCP) to transform how access control intelligence is built and delivered. This is a rare opportunity to operate at the frontier of LLM research and backend systems engineering, contributing to both the design of scalable architectures and the implementation of intelligent agents that reason, decide, and act. You will: Building APIs and backend services, test and evaluation frameworks in Python/Golang to support agentic workflows. Prototyping and productizing LLM-based capabilities into the identity access pipeline. Developing agent orchestration layers and working with frameworks like LangGraph or AutoGen. Designing systems around context-awareness, memory, and autonomous decision-making. You Have: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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