[Hiring] Principal Software Engineer, AI Platform @Saviynt

Role Description

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.

Qualifications

• 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.