Senior Software Engineer - Enterprise AI

Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.

Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.

Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.

Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.

Strong hands-on coding in C++, Go, or Java, plus working fluency in Python, with production code beyond scripts and configs.

Solid grounding in data structures, algorithms, concurrency, and memory management.

Someone who has built applied AI tooling (e.g., Claude, LiteLLM, AI gateways, agent frameworks) and the ability to build backend services that integrate with…

Experience designing distributed systems (consistency, replication, fault tolerance, scalability), with strong system design and architectural judgment.