Top Software Engineer Jobs in San Diego, CA

Serve as a senior database administrator supporting enterprise SQL Server and Oracle environments. Responsibilities include database design, configuration, performance optimization, backups and restores, high availability, disaster recovery, security, data governance, reporting, capacity planning, troubleshooting, patching, and system monitoring. The role also involves stakeholder coordination, technical planning, client interaction, continuity exercises, and support for distributed systems and SQL clusters.

Lead a team of engineers delivering product content and capabilities, including scripts, data sources, application catalogs, updates, vulnerability data, and reports. Own scalable automation pipelines for content generation, validation, and deployment; guide technical decisions from design through production; improve reliability and efficiency; and apply AI to content creation and delivery. Requires strong software engineering fundamentals, production systems experience, Node.js, JavaScript, TypeScript, Python, and AWS expertise.

Rapidly prototype and ship production software using AI-powered coding tools. Work directly with clients and users to understand problems, define requirements, design solutions, and collaborate with engineers, product managers, and designers. Test features for functionality, UX, and performance; document requirements and technical specifications; and align with the Tech Lead on architecture and priorities. The role requires full-stack web development, relational database proficiency, strong communication, prompt engineering, and comfort in a fast-paced remote environment.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Build and scale full-stack applications, backend services, APIs, infrastructure, and user experiences supporting millions of users. Design reliable, high-performance systems; partner with Product, Design, and Data; own projects through deployment and optimization; improve observability and developer productivity; and support AI adoption through automation and AI-powered workflows.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Build and enhance electricity cost modeling REST APIs and DBT data pipelines that simulate nationwide energy costs. Translate product and subject matter expert requirements into technical designs, specifications, and implementation plans. Participate in design reviews, improve engineering practices, and collaborate with remote teams. The role involves Python, enterprise Java, cloud deployment, data science tools, NoSQL databases, AI/LLM implementation, and mathematical energy analytics.

Provides technical leadership for a platform initiative by defining architecture, scalability, and long-term engineering strategy. Designs APIs, data pipelines, integrations, and distributed services; leads complex initiatives; manages dependencies and cross-functional execution; improves reliability, observability, and operational efficiency; evaluates technical risks and emerging technologies; and influences product roadmaps and technical direction across teams.

Build and ship production software across the frontend and backend, working closely with founders, customers, and product teams. Develop AI-powered features and systems involving web scraping, unstructured data, PDF parsing, and cloud infrastructure. Translate real-world real estate and financing problems into technical solutions, make high-impact decisions, and own shipped code. The internship may convert to a full-time role.

Deliver technical masterclasses on transforming traditional software development lifecycles for agentic engineering. Present concrete before-and-after examples covering task specifications, code review, QA, releases, human oversight, MCP, agent configuration, and AI-generated code quality gates. Collaborate with Nebius Academy’s curriculum team to create or adapt educational materials and potentially contribute to future sessions.