Top Software Engineer Jobs in San Diego, CA

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Design, develop, and maintain Salesforce solutions using Apex, Visualforce, and integrations. Build custom objects, UIs, batch/scheduled jobs, data migrations, and ensure code quality and releases in sandbox and production environments while mentoring peers.

Design, build, and maintain applications, APIs, and services for Magna's Jury Consulting business; partner with stakeholders to translate requirements; contribute to architecture, CI/CD, testing, DevOps, production reliability, and AI-assisted development; mentor engineers and evaluate emerging technologies.

Customer-facing principal-level engineer who architects and implements real-time, production-grade data pipelines and integrations (Java/Python) across multi-cloud environments. Duties include building connectors, optimizing Kubernetes deployments, debugging distributed systems, driving solution architecture from pre-sales through post-sales success, and influencing product roadmap while traveling up to 50%.

The Principal Software Engineer - Backend drives technology direction for backend systems, ensures service reliability, and mentors teams while shaping architecture and standards across Autodesk's systems.

Lead multiple Agile teams to design, build, and deliver large-scale Java/Linux applications and big-data solutions. Drive engineering excellence via automated testing, DevOps/CI, mentorship, backlog grooming, and cross-organizational influence to advance CAS products.

Lead design and delivery of scalable, secure lending and credit card solutions. Drive cloud-first modernization (Azure/cloud), API and integration strategy, production stability, prototypes, and mentor engineering teams while influencing enterprise architecture and business-aligned technical direction.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Own delivery and outcomes for enterprise finance accounts: build reusable semantic finance models, integrate ERP/planning/warehouse sources, reconcile data, run customer sessions with finance teams, and convert implementations into product improvements and templates.

Senior engineer who designs, builds, tests, and operates scalable backend services (Node.js/TypeScript); leads multi-sprint technical delivery; raises reliability, security (SOC 2) and observability standards; mentors engineers; runs code reviews; owns production readiness and incident response; and partners with Product, DevOps, and customers.