Top Software Engineer Jobs in Santa Cruz, CA

Build and maintain scalable, cloud-native APIs and core marketplace systems. Lead software architecture and testing discussions, collaborate across teams, and improve application reliability, performance, telemetry, and operational health. The role uses .NET Core and related technology stacks, front-end JavaScript frameworks, Kubernetes, AWS, PostgreSQL, OpenTelemetry, and AI development tools.

Build and operate MoonPay’s developer platform, including APIs, SDKs, embedded components, reference applications, and integration tooling. Design secure browser and mobile experiences, simplify payment and crypto workflows, and ensure reliable distributed transaction processing. Own developer interfaces, documentation, versioning, observability, and migration strategies while supporting authentication, identity, KYC, payment methods, and purchasing capabilities across web, iOS, and Android.

Design and build MoonPay’s unified identity and KYC platform across products, partners, and regulated jurisdictions. Responsibilities include defining architecture and technical strategy, modeling identity lifecycles, building secure APIs and SDKs, integrating verification providers, protecting sensitive data, and establishing consent, authorization, auditability, observability, versioning, and failure-handling practices. The role requires hands-on engineering, cross-functional influence, and leadership through ambiguity.

Build and operate Airbnb’s large-scale NewSQL storage platform on stateful Kubernetes. Responsibilities include database kernel performance, storage and query internals, replication, CDC, failover, migration tooling, observability, permissions, and service discovery. Engineers investigate production incidents, improve reliability and latency, contribute to open-source database systems, and collaborate across storage, SRE, ORM, and interface teams.

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.

Design, build, and operate Airbnb’s large-scale change data capture and batch export platforms. Improve reliability, performance, and efficiency across multi-tenant data infrastructure, collaborate with partner teams and internal customers, contribute to platform architecture, and participate in on-call operations. The role requires hands-on development, testing, debugging, and ownership of complex distributed systems supporting critical business functions.

Build and evolve scalable full-stack systems for People Data Labs’ APIs, self-serve products, and customer success tools. Responsibilities include designing frontend and backend architecture, developing React and Python applications, ensuring data integrity, implementing reliable APIs, optimizing performance, operating production services, collaborating with stakeholders, writing technical designs, mentoring engineers, and improving development practices.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Design and build data infrastructure automation, observability, health tooling, dashboards, and system improvements for large-scale object storage platforms. Lead technical designs and feature rollouts across services, improve fleet stability and throughput, automate hardware lifecycle processes, and partner with on-call teams to reduce operational toil and incidents.

Build and operate the platform supporting Honeydew’s digital dermatology product. Responsibilities include migrating data infrastructure to RDS, strengthening AWS security and compliance, standardizing logging, developing AI-assisted vulnerability remediation workflows, creating infrastructure and automation, supporting feature teams, and reviewing code. The role requires backend service and API development, platform security, infrastructure as code, CI/CD, and strong data and architecture skills.

Design, develop, deploy, and maintain scalable backend services, APIs, and frontend applications. Own projects from architecture through monitoring, collaborate with product and design teams, participate in technical and code reviews, troubleshoot complex issues, and improve engineering practices. The role focuses on secure, reliable systems across cybersecurity, AI, and distributed systems while providing technical guidance to peers.

Serves as a principal technical leader across Integrations, Workflows and Orchestration, and Data Management. Designs and modernizes distributed, event-driven backend systems; writes production code; resolves reliability issues; leads incident response; establishes engineering practices; shapes technical roadmaps; evaluates build-versus-buy decisions; documents architecture; mentors engineers; and influences teams and stakeholders without direct authority.

Develop and operate scalable backend services, APIs, and distributed systems for secure connectivity across cloud and customer environments. Lead technical initiatives from design through production, troubleshoot complex application and infrastructure issues, improve testing and observability, participate in on-call support, and mentor engineers. Primarily use Go across AWS and GCP, with occasional contributions to TypeScript and React applications.

Develop, test, deploy, and support resilient software solutions for Root’s payments and billing product domain. Collaborate with engineers and stakeholders to understand customer problems, communicate technical work, improve code and processes, and resolve production incidents affecting customers. The role requires software engineering experience, Ruby on Rails or equivalent expertise, and familiarity with React or React Native.

Leads engineering for one or more product-domain teams, partnering with Engineering Managers, Product, Data Science, Analytics, and Insurance stakeholders. Responsibilities include setting technical strategy and roadmaps, coaching engineers, driving cross-team initiatives, contributing code, leading incident response and resiliency improvements, and establishing engineering standards. Requires strong Ruby on Rails expertise, Rust familiarity, software leadership experience, and excellent communication skills.

Build, maintain, and steward open source cloud-native software for defense environments. Responsibilities include designing and implementing features, reviewing code, managing releases, engaging open source communities, resolving technical ambiguity, documenting systems, making architecture decisions, improving security and interoperability, and mentoring engineers. The role requires strong Go development, Kubernetes and cloud architecture expertise, collaboration with contributors and users, and participation in ecosystem standards and projects.

Leads architecture, hands-on software development, deployment, and production issue resolution for strategic customer projects. Drives AI innovation, platform resiliency, security, observability, performance, and operational improvements. Partners with executives, engineering, product, and customer success teams to prioritize strategic programs, improve customer value, share technical best practices, and remove production blockers.

Provides principal-level technical leadership for scalable learning and skilling platforms. Designs architectures, writes and reviews production software, leads full software lifecycles, and applies Azure, AI, Copilot, Power Platform, and custom solutions. Responsibilities include secure integrations, CI/CD, infrastructure as code, testing, observability, production support, Responsible AI, reusable components, cross-team technical alignment, and engineering mentorship.

Develops high-quality software and AI-powered prototypes for national security missions. Responsibilities include architectural design, feature development, automated testing, backlog grooming, sprint execution, API and SDK development, integration debugging, and research involving LLMs, embeddings, and smaller trained models. The engineer independently leads focused efforts while collaborating with product and engineering teams, using modern DevSecOps and CI/CD practices.

Leads the design, development, and maintenance of complex backend software systems. Owns significant features end to end, makes architectural decisions, improves scalability and performance, ensures code quality, mentors engineers, and collaborates with cross-functional teams. Builds production-ready C# and .NET APIs within microservices and containerized environments, using cloud databases and services. Participates in code reviews, testing, debugging, and continuous improvement.

Lead the technical direction, architecture, development, testing, and global deployment of NVIDIA’s AI agent compute and virtual desktop platforms. Build secure, isolated, cloud-hosted compute services across AWS and Azure, and drive desktop streaming performance for GPU and general-purpose workloads. Partner with engineering, IT, and security leaders to develop a multi-year platform roadmap supporting AI agents and end users.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.