Top Remote Software Engineer Jobs in San Diego, CA

Design, develop, and maintain scalable software solutions. Collaborate with product, design, and engineering teams. Write clean, efficient code; participate in code reviews; troubleshoot complex defects; and stay current with emerging technologies.

Design, develop, and maintain advanced software systems. Collaborate with product, design, and engineering teams. Write clean, scalable code, perform code reviews, debug complex issues, and stay current with technologies.

Develop, test, and deploy features for the core product while collaborating with product, design, and QA. Participate in code reviews, write clean documented code, troubleshoot and optimize existing systems, and contribute to process and tooling improvements. Gain hands-on experience and mentorship in a fast-paced engineering environment.

Design, develop, and maintain software applications. Collaborate with product, design, and engineering teams. Write clean, scalable code, participate in code reviews, troubleshoot defects, and stay current with technologies.

Design, build, and maintain scalable backend services and frontend experiences. Write clean code, participate in reviews, collaborate cross-functionally to define and ship features, improve engineering practices and infrastructure, and help shape the company's engineering culture.

Design, develop, and maintain software applications; collaborate with product, design, and engineering teams; write clean, scalable code; participate in code reviews; troubleshoot defects; stay current with emerging technologies.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

Join Trace as a Software Engineer, focusing on building end-to-end systems for data capture and processing in physical AI. Responsibilities include backend services, data pipelines, and customer collaboration.

As a Software Engineer, you'll develop and deploy software for cyber defense, handle digital twin model construction, and perform site reliability operations.

Sola seeks a Software Engineer for Desktop Automation to own and enhance their execution platform, focusing on reliability and integrating with AI pipelines.

The Full Stack Software Engineer will design, maintain scalable solutions, and collaborate with teams to enhance software quality, focusing on Ruby on Rails and AI integration.

The Full Stack Software Engineer will design and maintain scalable applications, focusing on Ruby on Rails, and collaborate with teams to enhance software quality and performance. Key responsibilities include troubleshooting, optimizing systems, and integrating AI solutions.

As a Senior Software Engineer, you'll collaborate to build and maintain automation capabilities, contribute to AI solutions, and ensure scalability, improving the user experience with software solutions.

Responsible for implementing and managing infrastructure as code (Terracore/Terraform), automating CI/CD with Jenkins, managing AWS services and Amazon EKS/Kubernetes, scripting in Bash/Python, implementing monitoring and security best practices, supporting production via on-call rotations, and collaborating with development and QA teams.

Design, develop, and maintain cloud-native applications using Node.js and React. Implement infrastructure-as-code (Terraform/CDK), deploy CI/CD pipelines, troubleshoot Linux systems, ensure secure AWS deployments, and collaborate with cross-functional teams to operate cloud workloads.

Join as a founding full-stack engineer to design and build Loula’s core architecture and platform. Drive front-end and back-end development, define product roadmap with customers and founders, lead portions of the tech stack, conduct user interviews, and collaborate cross-functionally to deliver scalable, extensible systems at an early-stage startup.

Build intuitive interfaces for construction workflows using React and TypeScript, optimizing performance and creating data-rich dashboards.

Develop, test, and debug components of a high-performance data warehouse. Create design docs, implement designs, fix review issues, and deliver tasks on schedule while collaborating with architects and engineers.

Build and maintain scalable backend microservices and developer-facing APIs, lead projects end-to-end, collaborate with product and engineering teams, design secure/versioned APIs, and manage cloud infrastructure using IaC.

Design, build, and operate backend systems for a mortgage lending platform. Own backend responsibilities from design through production, focusing on scalability, performance, reliability, and multi-service architectures while collaborating with product and full-stack engineers.

Join an early-stage platform team to scale and mature a mortgage origination platform. Work across the stack to improve distributed systems, performance, observability, and infrastructure tooling, and help define engineering standards and frameworks for growth.

Build and scale the platform infrastructure to support mortgage origination: design cloud architecture, deploy and operate Kubernetes-based systems, manage databases, implement observability and incident response, and create internal developer tooling to improve reliability and engineering velocity.

Build and maintain full-stack features on a product-oriented team, owning product areas end-to-end. Ship customer-facing functionality, design and optimize data models and schemas, work with React state management, relational databases, cloud services, event streaming, caching, and AI tools. Collaborate cross-functionally, take high ownership, and occasionally support mission-critical work outside normal hours.

Build and scale the frontend for a cloud-based mortgage origination platform. Lead React and TypeScript development, contribute to technical tooling and design system, collaborate with design and engineering to deliver production web applications handling complex data models.

Build and operate Abnormal AI's cell-based cloud infrastructure: bootstrap cells, provision multi-cloud (AWS/Azure) resources, deploy application stacks, automate lifecycle tooling, triage cross-layer incidents, reduce toil via automation, participate in on-call, and collaborate with product and application teams for scalable, secure, cost-efficient deployments.