Top Software Engineer Jobs in San Diego, CA

As a Senior Full-Stack Engineer at ClassDojo, you'll deliver code and features collaboratively, improve systems and practices, and mentor other engineers, all while impacting education for millions of children.

As a Lead Front-End Engineer, you'll own UI architecture, mentor team members, manage technical initiatives, and drive AI-powered feature development.

The Software Engineer (Frontend) at Metabase will develop user-friendly data tools, leveraging React and CSS while ensuring optimal communication and coding practices.

Lead frontend architecture and technical direction for shared UI systems and design system. Build, maintain, and document reusable component libraries; collaborate with UX, product, and engineering. Champion accessibility, testing, performance, and design-to-code workflows. Mentor engineers, review contributions, and deliver major UI initiatives end-to-end while balancing technical debt and product needs.

The Senior Backend Engineer will develop financial technology solutions, focusing on transparency in consumer lending through modern API development and data analytics, while collaborating with various teams to enhance product offerings.

Lead and scale Integrations, Workflows/Orchestration, and Data Management engineering teams (~40 engineers) to deliver connectors, orchestration, and data quality at scale. Set roadmap, architecture, and SLAs; drive platform modernization, observability, compliance (GDPR/CCPA), vendor strategy, and cross-functional enablement to ensure reliable data delivery into customer systems.

Design, build, test, and maintain secure, scalable cloud-native full‑stack applications on Azure. Implement APIs, microservices, and AI-enabled features (LLMs, RAG, Azure OpenAI). Apply CI/CD, observability, secure SDLC, and mentor teammates while collaborating with product, architecture, DevOps, and security to deliver production-ready solutions.

Build and maintain full-stack features using Ruby on Rails back end and Angular front end. Own features end-to-end, diagnose full-stack issues, set technical direction, mentor engineers, and support cross-functional teams across multiple product domains and core platform services.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.