Principal Software Engineer, AI Platform

permanent

Fully Remote

Only accepting applications from: United States

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 to ensure performance, availability, and fault tolerance.
Drive the modernization of backend services, refactoring legacy Java components and adopting modern patterns.
Champion best practices for Java development, testing, observability, and deployment in a distributed environment.
Collaborate cross-functionally with teams across DevOps, Security, SRE, and Application Engineering.
Evaluate and implement scalable solutions for authentication, authorization, tenant isolation, and configuration management.
Mentor engineers across teams in deep Java design principles and engineering for reliability.
Develop and maintain platform APIs, service orchestration logic, and critical workflows.
Identify and remediate bottlenecks in Java services and JVM performance.
Build automation and guardrails for developer productivity and service reliability.
Partner with architecture and leadership to drive long-term technical strategy and platform evolution.

Experience

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 and log management.
Experience integrating authentication and identity providers into Java services.
Strong command of DevOps and automation practices.
Proven leadership in cross-team collaboration, mentoring, and influencing architectural direction.
Excellent analytical, problem-solving, and communication skills.