Top Remote Software Engineer Jobs in San Diego, CA

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Owns end-to-end EDI integration implementations, including requirements analysis, mapping, development, testing, deployment, monitoring, troubleshooting, and post-production support. The role develops data transformations and integrations across enterprise systems, manages trading partner implementations, ensures production readiness, and collaborates with business and product teams. It also serves as an integration subject matter expert, mentors specialists, and supports standardized, high-quality integration practices.

Design and implement scalable, secure, high-performance software systems and public-facing APIs. Lead system design, apply agentic coding workflows, collaborate with Product and Data Science, mentor engineers, and own initiatives improving efficiency, performance, and customer satisfaction. The role requires extensive experience with highly available distributed systems, API versioning and rate limiting, modern backend and frontend technologies, AWS, and Domain-Driven Design.

Build and architect scalable React Native mobile applications from scratch. Lead technical decisions involving app structure, patterns, libraries, coding standards, and architecture. Collaborate with cross-disciplinary teams, mentor engineers, conduct code reviews, plan major projects, and promote high-performance software engineering practices using Agile methodologies.

Design, build, test, deploy, monitor, and support scalable enterprise software across the full lifecycle. Evaluate requirements, estimate effort, identify risks, collaborate with Product Management, conduct code and design reviews, and improve architecture and development practices. The role requires full-stack Java and modern front-end experience, API and event-driven integration expertise, database design, incident response, and CI/CD experience with Docker and Kubernetes.

Build and own foundational Android platform infrastructure, including architecture, shared libraries, tooling, observability, performance systems, and developer experience. Lead cross-organizational technical initiatives, establish Android engineering standards, evaluate AI-assisted development tools, and build AI-powered platform capabilities. Collaborate across mobile, web, backend, product, and design teams while mentoring engineers and driving large-scale organizational impact.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.

Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Leads a software engineering team responsible for designing, developing, operating, and reliably delivering core cloud-scale SailPoint products. Owns technical direction, architecture reviews, code quality, sprint execution, resource allocation, risk mitigation, and delivery metrics. Partners with Product Management and architecture leaders on roadmaps, coaches engineers, drives operational excellence, and promotes AI-assisted development. The team uses AWS, event-driven microservices, and distributed systems to build enterprise-grade identity security products.