Top Remote Software Engineer Jobs in San Diego, CA

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Lead technical direction and execution for Code Plane products (Batch Changes, Agentic Batch Changes, Code Monitors, Code Insights, src CLI). Translate customer feedback into roadmap, ship agent-focused features, mentor engineers, own architecture and quality, participate in on-call, and partner with Product, Design, and Customer teams to deliver scalable AI-agent developer tools.

The Software Engineer will develop AI agents for Sazabi, focusing on anomaly detection, root cause analysis, and improving workflow reliability. Responsibilities include prototyping, system design, and working with LLMs.

The Product Engineer will manage new product introductions, improve product quality, lead test house qualifications, and support product development with various engineering teams.

Lead end-to-end technical strategy and modernization of iHerb's product catalog platform. Define architecture, data models, APIs, and service boundaries; write production code; drive cross-team technical decisions, mentorship, and AI-driven SDLC standards. Coordinate multi-team efforts, ensure engineering quality, and represent engineering across product, data science, security, and infrastructure.

The Sr. Solutions Consultant will lead post-sales implementation of data center automation initiatives, including design, deployment, and integration of VMware solutions and automation technologies.

The Staff/Principal Software Engineer will work in a remote global team, addressing software engineering challenges while fostering collaboration and clear communication.

Lead engineering teams to develop AI-powered software for local governments, enhance user-facing features, and drive continuous process improvement.

Design, build, and operate shared backend services and APIs. Own full SDLC, define service boundaries and data models, ensure scalability and reuse, apply DDD and systems thinking, and use AI-assisted tools to accelerate development while maintaining maintainability.

Develop and maintain backend services for the Leap quantum-classical cloud platform. Deliver features across the SDLC, improve system performance and scalability, troubleshoot and resolve production issues, participate in code reviews and on-call rotation, mentor junior developers, and collaborate with cross-functional teams to ship reliable, high-quality software.