Top Software Engineer Jobs in Santa Cruz, CA

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.

Develop and operate Airbnb’s large-scale cloud infrastructure platform, including Kubernetes, developer APIs and CLIs, autoscaling, capacity management, and cloud automation. Build secure, reliable, scalable, and highly available distributed systems using public cloud technologies. Optimize existing infrastructure, improve performance and operational efficiency, troubleshoot production systems, and collaborate across engineering teams and open-source communities.

Design, develop, and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservices environment. Build AI-powered applications with LLMs, RAG pipelines, GenAI agents, vector databases, and AI services. Optimize performance, implement responsive user interfaces, troubleshoot systems, participate in code reviews, and collaborate with AI/ML engineers and cross-functional teams in a remote setting.

Designs, develops, tests, documents, and supports secure external data integrations using .NET, Azure, Informatica, Snowflake, APIs, ETL, and file-based interfaces. Leads technical delivery, performs impact analysis, supports production systems, troubleshoots defects, collaborates with business and technology stakeholders, and mentors engineers. The role owns integration architecture and solutions for insurance and financial-services partners, including DTCC and iPipeline feeds.

Own backend services from design through production support, solve ambiguous technical problems, improve reliability, build automation, and contribute to architecture and technical decisions. The role involves developing secure software in a regulated healthcare environment, debugging production issues, writing tests, mentoring engineers, and using modern cloud, deployment, observability, and AI-assisted development tools.

Leads technical direction for the Partner Services engineering area while remaining hands-on with mission-critical financial systems. Owns architecture roadmaps, ADRs, observability, reliability, security, technical investment, OKRs, and KPIs across multiple teams. Leads major incidents, drives AI-native engineering practices, partners with product and executive stakeholders, participates in architecture governance, and mentors engineers at every level. The role requires strong payments or banking familiarity, executive communication, and extensive technical leadership experience.

Leads technical strategy and architecture for a multi-team billing engineering workstream supporting payments, banking, treasury, and financial settlement. Remains hands-on while owning architecture roadmaps, ADRs, reliability, observability, security, AI-native engineering practices, technical investment, and business outcomes. The role partners with senior engineering and product leaders, manages high-stakes incidents, strengthens engineering maturity, and mentors engineers at every level.

Develop coding tasks and reference solutions for evaluating AI systems. Build deterministic verifiers, test suites, scalable backend services, and APIs. Debug complex defects, assess code quality, refactor legacy implementations, optimize performance, and evaluate AI-generated technical reasoning. Document requirements and verification criteria while independently applying software engineering judgment across algorithms, system design, testing, and reliability.

Evaluates AI-generated software for correctness, quality, efficiency, security, and maintainability. Designs programming challenges, reference solutions, test cases, and evaluation criteria. Reviews technical reasoning related to debugging, architecture, and system design, then provides structured feedback and documentation. The role requires strong programming fundamentals, software testing and code review experience, analytical problem-solving ability, and clear technical communication.

Build and operate scalable Connected Systems software for grid-connected energy systems. Responsibilities include backend services, telemetry pipelines, data platforms, diagnostics, fleet management, remote troubleshooting, asset lifecycle tracking, APIs, event-driven services, and secure firmware updates. Collaborate with embedded, hardware, manufacturing, test, frontend, DevOps, and infrastructure teams to deliver reliable production systems, observability, dashboards, and operational workflows.

Own the architecture and delivery of major backend services and long-term engineering initiatives. Design scalable, dependable transaction-heavy systems, write technical proposals, assess business impact, and collaborate with product teams. Use and validate AI coding tools, coach engineers, and contribute to the technical roadmap. The role requires expertise in Node.js, TypeScript, distributed systems, and message brokers, with remote work from the US or Canada.

Provides technical leadership for Azure SQL databases supporting a highly available Azure service. Responsibilities include database performance tuning, reliability and capacity planning, schema changes, data migrations, observability, incident response, root cause analysis, operational automation, and technical strategy. The role partners with software engineers, SREs, and architects to improve scalability, durability, cost efficiency, and long-term service reliability across teams.