Top Software Engineer Jobs in San Diego, CA

Lead integration and data migration workstreams for SaaS implementations. Document technical requirements, estimate effort, mitigate risks, deliver secure scalable integrations, perform data imports and quality checks, mentor the implementation team, and support pre-sales as needed.

Architect and implement latency-critical protocol components (consensus, state sync, mempool) in Rust. Build fault-tolerant distributed systems, optimize throughput and latency, collaborate with research/product, debug live systems, and contribute testing, benchmarking, and release standards.

Build and maintain Hudu's cross-platform mobile app and Dart console apps (including Windows services). Implement features end-to-end using Flutter/Dart and Riverpod, integrate with RESTful Rails APIs, collaborate with design and product, improve performance and reliability, and participate in code reviews and architecture decisions.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Develop, maintain, and troubleshoot AWS Lambda functions and serverless integrations between Salesforce and VA enterprise systems. Implement API integrations, data transformation/mapping, error handling, Step Functions orchestration, and monitoring (CloudWatch/Splunk/Datadog). Support deployments, hotfixes, RCA for incidents, and ensure solutions meet VA security and compliance requirements.

Lead design and implementation of end-to-end product features, drive technical decisions, use AI tools to accelerate development, support teammates through code reviews and standards, and continuously improve architecture, tooling, testing, and developer experience to deliver reliable production software for financial advisors.

Build, architect, and own moderate-to-complex backend components; lead small teams or projects; provide technical guidance and code reviews; deliver end-to-end backend services focused on AI-enabled customer data insights, onboarding, messaging/calling features, and scalable data management for a growing user base.

Lead and grow a multidisciplinary engineering team across full-stack, data engineering, and BI. Own people management, technical direction (C#/.NET, SQL, Vue 3, Power BI), data pipeline reliability, roadmap delivery, cross-functional collaboration, and engineering best practices to improve velocity, quality, and health outcomes.

Build and ship full-stack features for an AI-powered onboarding platform: design UIs, embeddable components, workflow automations, a compliance rules engine, internationalization, and third-party API integrations while ensuring testability and observability.

Hands-on senior full-stack engineer to design and build a greenfield, HIPAA-compliant healthcare platform. Ship end-to-end features using Python/Django and React/Next.js, integrate AI/agent workflows, implement secure logging, RBAC, and PHI-safe communications, and collaborate with product and operations to improve patient outcomes and scale care.