Top Remote Linux Jobs in San Diego, CA

Design, build, and support React/TypeScript applications; set accessibility and design-system standards; make technology decisions balancing security and quality; enhance performance, stability, and security; collaborate across product, design, ML, and infrastructure; mentor engineers and reduce technical debt; work across the stack including APIs and integrations.

Support coordinated project delivery by producing and maintaining Revit models, drawings, and documentation. Perform clash detection and coordination in Navisworks/ACC, update sheets and templates, assist engineers with calculations and product research, attend meetings, track tasks in Asana/GitHub, and support site visits and QA under mentorship while improving BIM workflows and team documentation.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Architect and lead delivery of enterprise content supply chain and digital marketing solutions. Convert business requirements into technical architectures, produce project scopes and timelines, diagnose delivery issues, and lead cross-functional, multi-region teams. Integrate Adobe Experience Cloud platforms and AI-enabled workflows to meet customer objectives and ensure on-schedule, on-budget delivery.

Lead and manage cloud-native software engineering teams to design, build, deploy, and operate scalable, secure cloud applications. Define cloud strategy, CI/CD, architecture standards, modernization initiatives, and engineering KPIs. Recruit and mentor engineers, collaborate with product, security, DevOps, QA, and stakeholders, and ensure compliance, reliability, and performance across public, private, and hybrid cloud environments.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

Build and maintain customer-facing AI cloud frontends (inference, training, admin consoles, and APIs). Design responsive, high-reliability interfaces to handle high traffic, using modern web frameworks and best practices. Collaborate on architecture, ensure production-grade quality, and thrive in ambiguous, fast-changing environments while sharing knowledge and communicating clearly.

Design, implement, and migrate Microsoft cloud infrastructure (Entra ID, M365, Intune, Purview, Defender, Azure). Lead tenant and workload migrations, Azure networking and backup, endpoint management, documentation, and client enablement across concurrent engagements.

Develop production-grade Python solutions to integrate with complex third-party APIs, parse and flatten messy data, automate infrastructure tasks, write and optimize PySpark transformations in Microsoft Fabric, build internal tooling/CLIs, and ensure code quality, testing, and CI/CD integration.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).