Overview
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviyn
Full job description
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.
15+ yrs of experience in Java/J2ee technologies. Hands-on experience of Java/J2EE, core Java concepts (multithreading, design patterns using Java, collections etc.), Spring, Hibernate, Groovy and Grails preferred and building web services using REST/SOAP APIs java based distributed systems. Proficiency with RDBMS Server in designing and optimizing queries, performance tuning and stored procedures. Good hands-on experience with Code Repository tools and Java debugging tools. Drive technical excellence and implementation of best engineering practices such as estimation review, design review, code review, unit testing, continuous integration/development. UI Development: Basic understanding of UI, HTML, JavaScript, and jQuery. Database Expertise: Strong DB knowledge to troubleshoot and resolve locking issues and performance bottlenecks. API Management: Experience managing concurrency, rate limiting, throttling, and API performance. Bulk Processing: Handling bulk executions, file uploads, and large-scale data processing efficiently. Experience in building LLM/AI-driven systems, ideally with multi-agent orchestration. Active, deliberate use of AI coding tools (Claude Code, Cursor, Copilot, or comparable) as part of your daily workflow — beyond autocomplete. Proficiency in AI frameworks (LangChain, LangGraph, Transformers). Bachelor’s degree in Computer Science or Engineering. MS or Masters in Information Technology preferred. Data-driven decision maker. 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.
Participate in requirements analysis Collaborate with internal teams to produce software design and architecture Develop state-of-the-art enterprise identity cloud solutions Test and deploy applications and systems Revise, update, refactor and debug code 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 support Follow the true agile principles
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