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Principal Software Engineer, AI Platform

Saviynt - US

Posted Feb 7, 2026

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About this role

Principal Software Engineer, AI Platform US WHAT YOU WILL BE DOING Lead the design, development, and scalability of core Java-based backend services that power our multi-tenant platform. Architect and optimize platform components to support high-throughput, low-latency, and mission-critical workflows. Integrate and manage core data systems (e.g., relational DBs, Redis, Elasticsearch, LDAP) to ensure performance, availability, and fault tolerance. Drive the modernization of backend services, refactoring legacy Java components and adopting modern patterns (e.g., reactive programming, event-driven architectures). Champion best practices for Java development, testing, observability, and deployment in a distributed, microservices-based environment. Collaborate cross-functionally with teams across DevOps, Security, SRE, and Application Engineering to build robust platform capabilities. Evaluate and implement scalable solutions for authentication, authorization, tenant isolation, and configuration management. Mentor engineers across teams in deep Java design principles, debugging complex issues, and engineering for reliability. Develop and maintain platform APIs, service orchestration logic, and critical workflows that support core business operations. Identify and remediate bottlenecks in Java services, JVM performance, GC tuning, thread management, and memory footprint. Build automation and guardrails for developer productivity and service reliability (CI/CD pipelines, code linting, config-as-code, etc.). Partner with architecture and leadership to drive long-term technical strategy and platform evolution. WHAT YOU BRING 10+ years of experience in Software Engineering with a strong focus on Java, Spring Boot, and distributed system design. Proven track record of building and maintaining scalable backend platforms supporting millions of users or high concurrency. Deep understanding of the Java ecosystem, JVM internals, memory management, performance tuning, and

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