Top Software Engineer Jobs in Santa Cruz, CA

The role involves designing, building, and maintaining scalable Android applications, leading complex projects, ensuring quality through automated testing, and mentoring engineers.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

Design, scope, prototype, and deliver backend and full-stack features for the Retail Grocery platform. Make technical decisions, deploy AI-native experiences, engage directly with customers and iterate quickly to meet retail needs.

Design, develop, test, and deploy Go and Python microservices for a B2B financial platform. Collaborate cross-functionally, support client onboarding and documentation, build automations, monitor system reliability, and later transition to product development or team lead responsibilities.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Build and operate backend services, APIs, and frontend experiences for the Power Packs product. Work across the full SDLC on backend systems, frontend React/NextJS apps, integrations, observability, and documentation while collaborating with Product and Engineering to deliver scalable, production-quality features.

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

Design and implement significant features, analyze product and database architecture for improvements, build RESTful APIs, enhance infrastructure and CI/CD, lead code reviews, mentor junior developers, and collaborate in agile ceremonies to improve reliability and efficiency.

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

Maintain and optimize SaaS production and demo environments, respond to and resolve incidents, manage Jira-based incident workflows, use Dynatrace and observability tools for troubleshooting, automate operational tasks, enforce security best practices, document runbooks in Confluence, participate in on-call rotation, and collaborate cross-team to improve reliability and performance.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

The Software Engineer, Platform role involves designing and maintaining backend APIs for various services at Speechify, focusing on performance and scalability while collaborating with cross-functional teams.

The Software Engineer will support data collection for model training, manage the cloud infrastructure, and collaborate on data pipelines to enhance Speechify's AI capabilities.

Senior .NET Software Engineer responsible for end-to-end software development using Microsoft technologies. Requires extensive experience in SDLC, design principles, technical documentation, web application development with .NET, Agile/SCRUM, Entity Framework, database design, and version control. Familiarity with project tools JIRA, TEMPO, Bitbucket, and Confluence preferred.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Design and implement front-end features, build high-quality user interfaces, take ownership of product and architecture decisions, collaborate with engineering team, and deliver performant, user-focused solutions.

Provide technical leadership for cross-functional teams, create and communicate technical vision and strategy, lead new initiatives without defined procedures, remove roadblocks, resolve issues, mentor engineers, and perform related duties. Remote role based in Canada; GM does not provide immigration sponsorship.

As a Staff Software Engineer, you will define technical strategy for Drive-Thru solutions, standardize Android practices, and ensure seamless integration between mobile clients and backend services while mentoring peers.

As a Senior Software Engineer, you'll implement collaboration features, support team architecture, work across tech stacks, and improve developer experience.

The Staff Software Engineer will lead full-stack initiatives, improve system quality, drive technical direction, and mentor peers in a collaborative environment.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

Build and own end-to-end full-stack systems for AI-powered agentic trading across web and React Native mobile. Implement real-time, low-latency UIs and Go backend services, integrate streaming AI/ML features and market data, drive architecture and code quality, and collaborate with AI/ML, design, and product teams to ship production-ready features used by millions.