Saviynt is an identity platform built to power and protect the world at work. With the rise of AI and Agents, the identity perimeter needs to be secured at scale. Come join as a Senior Engineering Manager for Saviynt’s AI Security team and enable us to build out AI security for the world's leading enterprises. In a world of digital transformation, where organizations are faced with increasing cyber risk but cannot afford defensive measures to slow down progress, Saviynt’s Enterprise Identity Cloud gives customers unparalleled visibility, control and intelligence to better defend against threats while empowering users with right-time, right-level access to the digital technologies and tools they need to do their best work.
WHAT YOU WILL BE DOING ?
·Own and lead the team which will Design, implement, test and release e2e workflows for our AI security posture product.
·Work across multiple agent platforms like AWS Bedrock, Google Agent Space, Salesforce AgentForce , building foundational solutions, using cloud, SAAS and AI design patterns and technologies.
·Use AI and Agents to secure AI, using CUA agents, various LLM’s , agentic frameworks like ADK, Langchain among others.
·Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure.
·Act as a technical expert and thought leader, influencing product direction and engineering best practices.
·Drive continuous improvement in engineering processes, tooling, and operational reliability.
·Collaborate with internal teams to produce software design and architecture
·Test and deploy applications and systems.
·Ability to start a program from scratch as well as maintain existing services.
·Develop documentation throughout the software development life cycle.
·Serve as an expert on applications and provide technical and customer support.
WHAT YOU BRING
·15 + years of software engineering experience with 5+ years of experience in a manager role.
·Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices
·Familiar with AI tools and curious about MCP, A2A, Agentic frameworks. Have a continuous learning mindset and not hesitate to venture into unchartered territory
·Ability to perform research and go deep into platforms is a strong plus
·Excellent communication skills and the ability to effectively interact with other teams across the organization.
·Ability to work effectively and achieve results across functional areas in a work environment with a high rate of change
·Ability to manage multiple teams and initiatives providing a consistent record of all activities while handling confidential work with discretion
·Extensive hands-on experience building and managing the development of complex, large scale enterprise applications and products with resilience and reliability
·Proven experience in team management, attracting, hiring, retaining and leading top engineering talent and high-performance product engineering teams
·Strong written, verbal communications, presentation skills, leadership, problem solving and analytical skills
·Strong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud) and Containerization (Docker, Kubernetes)
·Deep understanding of data structures, algorithms, and design patterns
·Hands on experience with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka
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