Top Software Engineer Jobs in San Diego, CA

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Summer 2027 software engineering intern who will design, develop, integrate, and enhance complex software applications and product features. The intern will collaborate with engineering teams, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and contribute to customer-focused innovation. The role includes mentorship, professional development, relocation benefits, and short-term housing eligibility.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Senior full-stack product engineer responsible for owning features end to end, from clarifying requirements and defining acceptance criteria through development, testing, deployment, monitoring, and production support. The role builds across React, TypeScript/Node.js, PostgreSQL, and AWS, uses AI-assisted development and QA tools, writes unit and end-to-end tests, and collaborates closely with tax-domain product owners in a small engineering pod.

Leads and grows the engineering organization, sets technical strategy and roadmap, oversees execution across multiple teams, and provides technical direction on architecture, scalability, reliability, security, and quality. Partners with Product, Design, Operations, Risk, and the CTO to deliver customer-focused financial products. Responsibilities include recruiting and developing engineering leaders, improving processes, removing organizational bottlenecks, and balancing product delivery with long-term platform and infrastructure investments.

Own the architecture, development, and maintenance of Nebulock’s customer-facing security platform across the full stack. Build product experiences including threat intelligence and detection query tools, improve scalability and maintainability, establish engineering standards, shape the technical roadmap, collaborate across product and security teams, and mentor engineers.

Develop and maintain secure full-stack web applications, APIs, integrations, databases, and production infrastructure. Rapidly prototype with AI-assisted development tools, then audit, refactor, test, secure, deploy, and monitor the resulting software. Integrate healthcare, CRM, billing, communications, and enterprise systems while protecting PHI and supporting HIPAA safeguards. Collaborate with executives, analysts, vendors, and operational teams to translate business needs into maintainable technical solutions, troubleshoot incidents, and continuously improve reliability and delivery speed.

Build and deploy AI solutions for clients, including agentic workflows, RAG systems, structured extraction, OCR and document-processing pipelines, retrieval systems, evaluation harnesses, and lightweight interfaces. Translate ambiguous client problems into production code, drive engagements from discovery through deployment, collaborate with stakeholders, and contribute to internal platform capabilities and engineering practices.

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.

Design, build, maintain, and scale production backend services and integrations. Debug cross-service production issues, lead architecture and technical decisions, mentor engineers, improve engineering standards and tooling, release backward-compatible APIs, implement auto-scaling services, and architect real-time systems for syncing large data volumes.