Top Software Engineer Jobs in San Diego, CA

Lead development of Chariot’s claims processing pipeline and CRM systems, transforming manual scripts into reliable, observable production infrastructure. Build claimant and law-firm workflows, fraud detection and verification stages, dashboards, integrations, internal tooling, and AI agent harnesses. Own product decisions, recruit and develop engineers, and establish pipeline reliability. The role requires staff-level software ownership, early-stage startup experience, and proficiency with Go and AWS.

Design, build, and scale high-throughput, low-latency Go services powering blockchain RPC infrastructure. Architect distributed systems, own production delivery, improve uptime and latency, resolve complex production issues, and collaborate across Product, Infrastructure, and Developer Experience teams.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.

Leads the design, development, integration, modernization, automation, and optimization of complex enterprise healthcare applications. Architects data pipelines and interfaces, manages upgrades and performance tuning, partners with architecture and security teams, establishes technical standards, and mentors engineers. The role requires expertise in healthcare interoperability, enterprise application architecture, scripting, deployment pipelines, security, scalability, and regulatory compliance.

Supports and enhances software, data, reporting, integration, and internal systems. Responsibilities include troubleshooting applications and data pipelines, maintaining SQL and Power BI environments, writing code, debugging APIs, supporting deployments and incident response, documenting solutions, working helpdesk tickets, and applying approved AI tools securely. Collaborates with engineers, analysts, developers, and business stakeholders to resolve issues, automate work, improve systems, and reduce operational burden.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Build and own scalable fintech products end to end, partnering with product, design, and data teams. Design high-performance, event-driven systems, integrate AI models and autonomous agents, instrument features, monitor business outcomes, and optimize user experiences. Work across React, TypeScript, React Native, Laravel, PostgreSQL, and AWS while influencing technical strategy, architecture, and product decisions.

Build and ship end-to-end production features across APIs, databases, user interfaces, and testing. Work primarily with TypeScript, React, Next.js, NestJS, PostgreSQL, and related technologies. Integrate third-party services, maintain scalable systems, debug production issues, write automated tests, and make architectural improvements. The role requires ownership, proactive communication, independent execution, and effective use of AI coding tools in a remote, async-first team.

Forward Deployed Engineers embed with enterprise customers to design, build, configure, deploy, and troubleshoot platform solutions. They lead technical discovery and presales conversations, write production code and automation, enable technology partners, support incidents and on-call rotations, and translate customer feedback into product improvements. The role requires deep enterprise experience, strong communication, hands-on development skills, AI fluency, comfort with ambiguity, and the ability to advise executives and technical stakeholders.