Top Software Engineer Jobs in San Diego, CA

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Leads Salesforce administration, development, integrations, and multi-cloud roadmap delivery. Builds custom applications and Agentforce solutions, manages data hygiene and security, tracks platform KPIs, and oversees releases and deployments. Translates business requirements into scalable Salesforce solutions, leads multiple technical projects, identifies design risks, improves processes, and supports users. Requires advanced expertise in Apex, LWC, SOQL, AI, data modeling, Salesforce integrations, release management, Agile practices, and executive communication.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Designs, develops, tests, deploys, and optimizes customized Salesforce solutions using Apex, Visualforce, Lightning Web Components, declarative Flows, and integrations. Collaborates with stakeholders to translate requirements into scalable solutions, leads technical standards and code reviews, manages testing and CI/CD deployments, documents implementations, and supports Salesforce platform improvements. The role requires expertise across Salesforce clouds and CPQ, including Partner Community quoting integrations.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Build polished consumer-facing web and mobile experiences, primarily developing React Native features while maintaining native iOS and Android applications. Collaborate with product and design to turn feedback into shippable improvements. Work across APIs, native integrations, analytics, media, debugging, and existing Swift and Kotlin codebases. Develop with React, TypeScript, Next.js, and modern web technologies while addressing real-device performance, navigation, gestures, responsiveness, and platform-specific issues.

Leads software engineering strategy, modernization, architecture, governance, and delivery across the Digital Solutions Division. Oversees enterprise-scale cloud and SaaS platforms, Agile and DevOps practices, security, reliability, and technology transformation initiatives including AI adoption. Manages engineering teams through hiring, coaching, performance development, and organizational change. Partners with product, sales, marketing, infrastructure, security, operations, customers, and vendors while managing budgets, ROI analyses, and technology investments.

Lead development of full-stack CRM integrations and cloud-native services across Salesforce, ServiceNow, Zendesk, telephony providers, and AWS. Build scalable UIs, REST APIs, event-driven systems, automated tests, and infrastructure. Improve reliability, performance, monitoring, alerting, and incident response while participating in on-call operations. Influence architecture, review code, mentor engineers, troubleshoot production incidents, and apply AI-assisted development practices responsibly.

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