This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a passionate Senior Software Engineer, Backend who will play a key role in designing, developing, and maintaining product features of our IAM platform. You will collaborate closely with cross-functional teams to implement robust and scalable solutions that meet the evolving needs of our customers. This is an exciting opportunity to contribute to the growth and success of a high-impact startup while working on cutting-edge technologies in the field of identity and access management. - Design, develop, and maintain backend services and APIs for our IAM platform, ensuring high performance, scalability, and reliability. - Collaborate with product managers, other software engineers, and security experts to build product features that meet business objectives and security standards. - Develop and maintain Access Intelligence features that curate actionable insights from customer environments. - Develop and maintain identity lifecycle management features, including user provisioning, de-provisioning, and access control policies. - Implement logging, monitoring, and auditing capabilities to ensure visibility and compliance with regulatory requirements. - Continuously optimize and improve the performance, security, and scalability of the IAM platform through code reviews, testing, and refactoring. - Stay current with industry trends and emerging technologies in identity and access management, and leverage them to drive innovation and improve our platform. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven 7+ years in backend software development, with a focus on identity and access management, security, or related areas. - Strong proficiency in Golang programming language. - Experience designing and implementing RESTful APIs and microservices architectures. - Solid understanding of authentication and authorization protocols, standards, and best practices. - Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and familiarity with IAM services and features. - Experience with containerization and orchestration technologies, such as Docker and Kubernetes, is a plus. - Knowledge of database technologies (SQL and NoSQL), caching mechanisms, and distributed systems. - Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment. - Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Benefits - Base pay is one part of your total compensation package. - Reasonably expected pay range can be discussed with your recruiter. - Base pay will depend on several factors, including experience, qualifications, education, location, and skills. - This position is also eligible for equity and a competitive benefits package. Company Description Veza is the identity security company. Identity and security teams use Veza to secure identity access across SaaS apps, on-prem apps, data systems, and cloud infrastructure. Veza solves the blind spots of traditional identity tools with its unique ability to ingest and organize permissions metadata in the Veza Authorization Graph. Global enterprises like Blackstone, Wynn Resorts, and Expedia trust Veza to visualize access permissions, monitor permissions activity, automate access reviews, and remediate privilege violations. Founded in 2020, Veza is headquartered in Redwood City, California, and is funded by Accel, Bain Capital, Ballistic Ventures, GV, Norwest Venture Partners, and True Ventures. Visit us at veza.com and follow us on LinkedIn, Twitter, and YouTube.

• Write robust, scalable, and reusable Golang code according to requirements • Cover code with unit tests. • Work together with QA engineers to ensure high, consistent code quality • Perform code reviews, help teammates with solving technical problems • Troubleshoot issues where needed • Participate in requirements and implementation discussions • Ensure stable operation of the product through monitoring, alerts and metrics • Develop applications to work in an isolated infrastructure, complying with security standards • Work only with the backend, solve complex business problems related to fintech • Communicate clearly with the team about technical directions and product goals • Promote knowledge sharing across the team

• Design and develop Python-based AI systems, APIs, and microservices • Build and manage GenAI and agentic AI workflows using modern LLM frameworks • Lead end-to-end AI project delivery, from requirements to production • Design LLM pipelines, prompts, and agent orchestration systems • Ensure scalability, security, and reliability of AI solutions • Mentor junior engineers and provide technical leadership • Collaborate with global clients to translate business needs into AI solutions

• Build and maintain full-stack systems: Develop and maintain web clients and backend services using JavaScript, Vue.js, PHP, and supporting technologies (e.g., Node.js where relevant). • Collaborate cross-functionally: Work closely with Product and UX to translate requirements into well-scoped, deliverable technical solutions. • Own delivery end-to-end: Contribute across the SDLC - from pull requests and code reviews through to containerised deployments on GCP with a focus on reliability and observability. • Monitoring and observability: Maintain and extend dashboards to monitor service health during and after deployments; support incident investigation and performance tuning. • Debug and improve systems: Troubleshoot complex issues across services, implement fixes quickly, and drive long-term improvements to prevent recurrence.