Top Senior Level Software Engineer Jobs in Los Angeles, CA

Lead a product-facing engineering team focused on acquisition and conversion. Set priorities and metrics, partner with cross-functional teams, drive experimentation and funnel optimization, hire and coach engineers, ensure secure, reliable, and scalable systems, and balance speed with long-term technical health and team sustainability.

As a Senior Software Engineer, you will develop low-latency data pipelines, integrate algorithms, and enhance developer tools while collaborating with various teams in a dynamic environment.

Lead design and build of an AI-powered, spec-driven development platform: evaluate frameworks, architect end-to-end tooling, integrate with CI/CD and Kubernetes, partner with DevOps, MLE, and Security, instrument adoption and velocity metrics, and drive org-wide rollout and training to enable non-engineers to author specs.

The Senior Software Engineer will design and maintain backend services for recognition AI solutions, lead a small team, and drive technical improvements.

Lead design and delivery of scalable budgeting and pacing infrastructure. Build and maintain high-performance Java production systems, collaborate with engineering and product teams, apply data-driven decision making, and ensure reliability, observability, and continuous improvement of distributed systems.

The Senior Software Engineer will design and develop flight and ground software, collaborate with cross-functional teams, and manage the complete software lifecycle.

Design, build, and maintain scalable full‑stack web applications in a cloud containerized environment. Improve reliability and observability, ship features, refactor codebase, and collaborate with hardware, product, and design teams while promoting testing and knowledge sharing.

Design, build, and maintain scalable backend services and APIs for commerce workflows using Python/Django. Improve reliability, performance, and observability, operate AWS deployments, work with PostgreSQL and event-driven architectures (SNS/SQS), modernize legacy systems, and support CI/CD, testing, and production troubleshooting.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Lead full‑stack design and delivery of customer-facing web experiences (Browse, Navigate, Preview). Own architecture, APIs, data models, rollouts, observability, on‑call readiness, and cross-team alignment, using approved AI-assisted workflows while ensuring technical quality and reliability.