Top Software Engineer Jobs in San Diego, CA

Lead the architecture, development, testing, and maintenance of scalable backend systems and APIs. Drive technical decisions, code quality, performance optimization, documentation, continuous delivery, and monitoring. Collaborate with product, design, and engineering teams to translate requirements into reliable solutions. Mentor junior engineers, conduct code reviews, resolve complex technical issues, and contribute to agile development and overall technology strategy.

Develop and maintain backend infrastructure for Arbitrum, focusing on distributed systems, blockchain scalability, security, performance, compiler pipelines, SDK frameworks, microservices, databases, and API architecture. Responsibilities include maintaining Nitro Testnode, reviewing code, supporting stakeholders, collaborating with research and security teams, and driving technical roadmaps for high-performance blockchain systems.

Build and improve Go backend services, GraphQL APIs, relational data models, background jobs, and third-party integrations. Write SQL, automated tests, and production fixes while improving reliability and performance through logs and metrics. Collaborate with product, design, mobile, and frontend engineers to ship collector-facing features. The role requires ownership, clear communication, fast learning, and comfort working in a small, rapidly changing startup environment.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Leads the technical vision and engineering team for a high-throughput data and event platform. Oversees scalable distributed data systems, pipelines, databases, cloud infrastructure, data governance, and system integration. Partners with AI, ML, analytics, and platform teams to expand self-service capabilities, manages technical debt and architecture decisions, prioritizes projects, and recruits and mentors engineers.

Lead the architecture, development, and deployment of scalable APIs and backend systems for Afresh’s AI-powered grocery ordering platform. Partner with product, account management, design, and engineering teams to deliver integrated solutions used across thousands of stores. Drive projects from conception through launch, make high-impact architectural decisions, understand complex business dependencies, and mentor junior engineers.

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.