Top Software Engineer Jobs in Santa Cruz, CA

Lead company technology vision and strategy, oversee R&D and deployment of software solutions, build and manage a high-performing engineering team, align technology with business goals, and ensure compliance with relevant laws and regulations.

Lead hands-on development of scalable software, APIs, integrations, automations, and core product features. Architect systems, make technical decisions, ensure code quality, optimize performance and security, and collaborate across Product, Design, Data, and Business teams. Mentor developers, conduct code reviews, shape the technical roadmap, and improve engineering workflows, CI/CD, and architecture. The role also explores AI, automation, and API-first technologies in a fully remote startup environment.

Staff Software Engineer responsible for architecting and delivering backend-focused member and care team experiences. The role partners with product and clinical teams, sets technical direction, builds scalable and secure systems, maintains high-quality tested code, mentors engineers, and guides architecture across the stack. Responsibilities include API design, cloud infrastructure, CI/CD, observability, and thoughtful use of AI-assisted development tools.

Build and maintain accessible, reusable React Native and web components for Rocket Money’s design system. Collaborate with designers and engineers on UI primitives, tokens, patterns, documentation, tooling, motion, and interaction quality. Improve accessibility, testing, adoption, migration support, and developer experience through reliable shared infrastructure, Storybook examples, technical documentation, and code reviews.

Build and operate full-stack internal web applications and conversational AI bots using React, TypeScript, Node.js, Elasticsearch, Kibana, LLMs, RAG, and vector search. Responsibilities include technical design, development, testing, CI/CD deployment, feature flag management, production operations, and on-call support. The role also involves replacing legacy SaaS tools, integrating Elastic Stack capabilities, and using AI coding assistants to accelerate delivery.

Leads the design, development, integration, maintenance, and optimization of Salesforce CRM systems. Responsibilities include Salesforce administration, Apex development, REST API and middleware integrations, data migration, troubleshooting, user support, documentation, security, reporting, dashboard management, testing, and collaboration with vendors, project managers, designers, analysts, and business stakeholders.

Lead and build a mobile engineering team from the ground up, overseeing hiring, mentorship, architecture, product execution, release governance, QA infrastructure, app-store deployments, telemetry, and cross-functional collaboration. The role manages iOS, Android, and cross-platform development while ensuring reliable, secure, high-quality mobile experiences for employees and retirement-plan administrators.

Build and maintain GTM automations, integrations, workflows, account scoring, data enrichment, and internal tools across revenue systems. Use APIs, scripting, SQL, and AI/LLM technologies to improve lead processing, product usage visibility, customer handoffs, and expansion opportunities. Monitor integrations, maintain data quality, document workflows, support RevOps users, and establish AI governance across go-to-market operations.

Develop and support a multi-tenant operational platform for alternative investment managers. Build frontend features, backend services, APIs, data-ingestion workflows, validation, scheduled jobs, database migrations, audit trails, access controls, and automated tests. Investigate production issues, improve reliability, support customer deployments, participate in code reviews and releases, and coordinate with technical and DevOps teams on installations and upgrades.

Build and scale foundational services, APIs, pipelines, and distributed systems for an AI-powered SMS marketing platform. Own backend systems, improve scalability, reliability, modularity, and observability, and collaborate with engineering, data, product, and go-to-market teams. Use AI-first development practices, contribute to AI integration strategy, reduce technical debt, and support high-scale customer workloads across AWS and Kubernetes.