Top Remote Software Engineer Jobs in San Diego, CA

Build, operate, and scale core data services and APIs to process, store, and deliver large-scale patient health records with low latency and high availability. Provide technical leadership, contribute to architecture and design, collaborate with product and engineering teams, and coach engineers.

Develop and maintain scalable Node.js/JavaScript services on AWS (Lambda, Fargate), build and monitor RESTful APIs, manage data in S3, contribute infrastructure-as-code (CloudFormation/CDK), and support integrations with Salesforce (LWC, Apex). Collaborate with senior engineers and product managers, improve systems, and document work.

Design, build, and maintain Chaos Engineering tooling and distributed backend systems. Collaborate with product and cross-functional teams, mentor engineers, ensure reliability through automated testing and CI/CD, integrate with cloud and external systems, and deliver production-ready features that improve system availability and customer experience.

Design and implement backend features in Go, build data pipelines and REST APIs, work with PostgreSQL and AWS, contribute to scalable system design, and optionally develop React.js user-facing features while collaborating in a fast-paced AI-focused startup.

Develop modern web applications focusing on UI components using React while ensuring performance, accessibility, and cross-browser compatibility.

Build and maintain end-to-end product features across frontend, backend, and databases. Design APIs, authentication, data models, integrations, and AI-assisted workflows. Ship production-ready SaaS components, debug across the stack, improve reliability and performance, and collaborate on product and architecture decisions in an early-stage startup.

Lead engineering managers and senior engineers for Authentication services, owning roadmap, reliability, scalability, and operational excellence for cloud-native, low-latency API-based systems. Improve architecture, observability, CI/CD, incident response, and cross-team execution while partnering with Product, Research, Security, and Platform to operationalize AI/ML trust signals.

Develop, maintain, and deploy Java-based applications using Spring MVC and microservices. Diagnose and fix bugs and performance issues, design scalable systems, use CI/CD and version control, follow security guidelines, and communicate progress with project managers.

Design, build, test, and maintain full-stack applications using backend technologies (.NET/NodeJS/Java) and frontend stack (JavaScript/TypeScript/React). Deploy and manage applications on cloud platforms (Azure/AWS/GCP), implement CI/CD pipelines, work in Agile teams, ensure code quality and security, and collaborate across functions to deliver scalable solutions.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.