Top Software Engineer Jobs in San Diego, CA

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Designs, develops, tests, integrates, deploys, and sustains secure software for distributed, disconnected, intermittent, and low-bandwidth DoD environments. Responsibilities include building APIs and modern architectures, maintaining CI/CD and DevSecOps security gates, deploying to Kubernetes and cloud environments, integrating cross-domain systems, troubleshooting operational issues, supporting acceptance testing and fielding, and producing technical documentation. The role collaborates with engineering, cybersecurity, platform, government, and mission stakeholders across classified and unclassified environments.

Design and develop complex applications using Node.js, TypeScript, SQL, PostgreSQL, Redis, and Elasticsearch. Collaborate cross-functionally to create scalable solutions, anticipate technical issues, and support system architecture. Perform automated testing and maintenance. The role requires a TS/SCI clearance with polygraph and substantial software development experience, along with a bachelor's or master's degree. Preferred experience includes Java, JavaScript, SharePoint, Oracle, MongoDB, Solr, OpenAI, and other AI technologies.

Lead the Dealing Journeys squad to deliver scalable, reliable trading and investing experiences. Own roadmap with product, guide technical direction across web and mobile (React/React Native), ensure observability, SLOs, and delivery predictability, coach and grow engineers, remove blockers, and partner on architecture for distributed AWS systems.

The Software Engineer will design, develop, and maintain backend APIs, enhance performance, oversee the backend API landscape, and collaborate with teams to align architecture with product strategies, focusing on user experience.

Design and scale backend services for real-time and historical vehicle telemetry, fleet management APIs, customer integrations, and high-volume time-series and geospatial data. Improve system reliability, scalability, observability, and cloud efficiency while handling intermittent connectivity and distributed-system challenges. Collaborate with vehicle software and UI teams, guide backend architecture, lead projects, and mentor engineers.

Build and scale full-stack healthcare platform features across React front ends, Node.js services, mobile apps, browser extensions, and AI-driven infrastructure. Own products end to end from design through deployment, make architectural decisions, collaborate with product, design, AI/ML, and customer-facing teams, and mentor engineers. Required work includes REST APIs, NoSQL data modeling, CI/CD, DevOps workflows, and browser-integrated technologies.

Design, build, test, deploy, and support scalable data-intensive applications for real estate analytics. Own software throughout its lifecycle, collaborate on technical designs, uphold engineering best practices, and contribute to architecture and continuous improvement. The role requires modern server-side and front-end development, relational database expertise, source control, testing, operations, and AI-assisted development workflows.

Builds, integrates, and delivers secure software capabilities for regulated government and DoD environments. Responsibilities include software architecture and development, Agile delivery, Git workflows, automated testing, Kubernetes or cloud deployment, DevSecOps security gates, resilient DDIL and afloat/ashore PaaS architectures, and secure Cross-Domain Solutions integration.

Develop Go services, APIs, Terraform modules, and automation for scalable database, streaming, caching, and cloud infrastructure. Operate and improve stateful data platforms, Kubernetes workloads, and infrastructure-as-code workflows. Automate deployment, scaling, recovery, and lifecycle management while enhancing observability, reliability, testing, and incident response. Build self-service and agent-assisted infrastructure experiences, troubleshoot distributed systems, define operational objectives, and collaborate across engineering, security, and platform teams.