Top Software Engineer Jobs in San Diego, CA

Build and maintain internal applications, dashboards, workflow automations, APIs, and integrations under senior engineering guidance. Responsibilities include SQL development, C# API support, AI-assisted workflow implementation, testing, debugging, documentation, monitoring, incident triage, data validation, and stakeholder collaboration.

Produce and maintain technical documentation (user guides, SOPs, security docs) for complex software and hardware systems. Collaborate with engineers and stakeholders, use GitLab for issue tracking, manage version control with configuration management, and ensure documentation meets project and DoW standards.

Maintain and improve responsive, accessible React interfaces for an enterprise e-commerce platform, with some Adobe Experience Manager work. Responsibilities include debugging cross-browser issues, optimizing performance, translating designs and requirements into interfaces, building reusable components and design-system elements, handling edge cases, collaborating with designers and engineers, and documenting components and style guides.

Develops, tests, integrates, and maintains software for RF defense communication systems supporting U.S. Navy missions. Responsibilities include SDLC participation, C/C++/Java development, Agile delivery, hardware/software and FPGA integration, test procedure development, technical documentation, stakeholder coordination, and mentoring junior engineers.

Leads architecture and development for complex, high-performance classified software systems. Oversees development teams, makes architectural decisions, manages software complexity, and supports Agile delivery. Designs, documents, tests, and debugs software; evaluates requirements, cost, schedule, cybersecurity, CI/CD, interfaces, and monitoring strategies. Collaborates with program, integration, testing, and information assurance teams, leads customer technical discussions, and coaches developers.

Designs, develops, and deploys software products that generate synthetic scenarios for Live, Virtual, and Constructive simulation environments. Leads a software development team working onsite with government personnel. Responsibilities include software development, virtual machine deployment and management, DevSecOps lifecycle execution, obsolescence engineering, technical documentation, and support for classified intelligence-related projects.

Leads Salesforce architecture, configuration, customization, integrations, security, data governance, technical reviews, documentation, testing, deployments, and platform enhancements for a Department of Defense client. Translates mission requirements into scalable Salesforce solutions and guides development teams on best practices. Requires enterprise Salesforce experience, Apex, Visualforce, Lightning Web Components, APIs, U.S. citizenship, and eligibility for a Secret clearance.

Develop and implement Salesforce applications using Apex, Lightning Components, and Visualforce. Translate business requirements into scalable CRM solutions, integrations, and releases. Troubleshoot, test, and maintain application security. Create and support Tableau dashboards, reports, visualizations, and server or cloud deployments. Collaborate with business analysts, administrators, and technical teams while assisting with development estimates and schedules.

Leads the engineering team’s daily operations, technical execution, staffing, resource allocation, quality processes, and project delivery. Provides technical guidance, reviews designs and proposals, supports development and production activities, coordinates with product and business stakeholders, and ensures adherence to engineering standards. The role requires extensive embedded software and space-qualified hardware experience, multi-project management, and eligibility for U.S. security clearance.

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.