Saviynt - Principal Software Engineer, AI Platform
Requirements
• 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 multithreading. • Hands-on experience with data systems such as PostgreSQL/MySQL, Redis, Elasticsearch, and LDAP. • Experience designing and supporting multi-tenant architectures, including isolation, resource control, and config management. • Strong experience in building and managing RESTful APIs, microservices, and platform-level abstractions. • Familiarity with infrastructure and deployment environments including Kubernetes, Docker, and AWS (or other cloud providers). • Solid knowledge of observability tools (e.g., Prometheus, Grafana, OpenTelemetry) and log management (e.g., ELK stack). • Experience integrating authentication and identity providers (LDAP, SSO, OIDC) into Java services. • Strong command of DevOps and automation practices (CI/CD, GitOps, IaC tools like Terraform, Helm, or Ansible). • Proven leadership in cross-team collaboration, mentoring, and influencing architectural direction. • Excellent analytical, problem-solving, and communication skills.
Responsibilities
• 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.
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