Top Remote Linux Jobs in San Diego, CA

Develop data pipelines and AI systems to process data from multiple sources. Focus on simplicity, reliability, and maximizing sales efficiency while shipping features regularly.

The Smart Contract Engineer will design, implement, and optimize smart contracts on Solana, focusing on vault architecture, security, and performance in DeFi protocols.

The Senior Process Engineer will translate engineering workflows into product requirements, validate deliverables, and define checks to automate preconstruction processes while collaborating closely with various engineering disciplines.

The role involves building and scaling backend services, designing APIs, optimizing database performance, and communicating with customers to improve product quality.

Lead ServiceNow development team and design architecture for ITSM and SPM modules. Review and approve developments, manage instance lifecycle and upgrades, define platform governance, and act as primary technical contact for architecture and roadmap decisions.

The Solution Architect will design and implement cloud-native solutions, collaborate on automation, and modernize applications while ensuring security compliance and delivering business insights.

The role involves managing compute infrastructure for decentralized applications, requiring critical thinking, documentation skills, and experience in Kubernetes and blockchain management.

The Principal Engineer will guide architectural strategy, solve complex technical challenges, mentor engineers, and ensure compliance with healthcare standards.

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.