Top Software Engineer Jobs in Santa Cruz, CA

Leads software design and development for Windows Core OS services and platforms. Partners with stakeholders to define requirements, identifies dependencies, creates design documents, and mentors engineers in producing maintainable code. Drives cross-product project and release planning, serves as a designated responsible individual, participates in on-call operations, and improves system availability, reliability, observability, efficiency, and performance.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Lead and mentor a team of engineers while contributing hands-on to complex features. Define architecture, drive development best practices, conduct code reviews, coordinate cross-functional requirements, and ensure timely delivery of high-quality ecommerce marketplace software.

Leads architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drives innovations in scalability, performance, security, durability, and efficiency; collaborates with AI and cloud infrastructure teams; mentors engineers; and evaluates emerging technologies for AI-native storage.

Designs and ships full-stack features across Angular, PHP/Symfony, Go, and MySQL. Responsibilities include architecture, data modeling, API design, testing, code reviews, technical design leadership, mentoring engineers, AI-assisted development, production support, incident investigation, and systemic improvements. The role is fully remote in the US and collaborates with global engineering teams.

Principal Software Engineer responsible for cross-cutting architecture, technical roadmap direction, and delivery quality. The role involves developing APIs, databases, UIs, and libraries with C# or JavaScript/TypeScript; guiding AI-assisted development; establishing testing and verification practices; mentoring engineers; improving tooling and workflows; collaborating cross-functionally; estimating work; and participating in on-call support. The position is fully remote with occasional travel.

Designs and implements manual and automated tests across unit, component, integration, and end-to-end levels. Builds scalable UI and API automation frameworks, conducts performance and load testing, creates test reports, investigates regressions, and provides testability feedback. Collaborates with engineering, product management, and UX teams in an agile environment. The role requires Python and JavaScript automation expertise, cloud and container experience, CI/CD familiarity, SQL, and knowledge of microservices.

Develop comprehensive testing strategies and automated test frameworks for UI, API, component, unit, integration, and end-to-end testing. Build performance and load tests, generate test reports, identify regressions, and provide design feedback. Collaborate with engineering, product, and UX teams in an agile environment while supporting AI-driven products, microservices, cloud infrastructure, and CI/CD workflows.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Designs and delivers scalable, resilient, cloud-native infrastructure services for Azure Virtual Machine Scale Sets. Responsibilities include gathering requirements, creating design documents, writing maintainable code, estimating work, monitoring services, responding to incidents, and improving availability, reliability, observability, efficiency, and performance at hyperscale.

Design, develop, and operate highly scalable and resilient Azure VM Scale Set cloud services. Own features from architecture through deployment and operations, solve distributed-systems challenges at hyperscale, and drive reliability, security, performance, disaster recovery, testing, monitoring, automation, and engineering best practices. Collaborate across teams to deliver platform capabilities and customer outcomes.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Build and operate large-scale data acquisition systems, including web crawlers, distributed processing platforms, backend services, data pipelines, and asynchronous workloads. Improve ingestion reliability, scalability, observability, fault tolerance, and data quality. Collaborate with data product and engineering teams to develop data products, design schemas and pipelines, and deliver resilient systems in a remote-first environment.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Develop and execute comprehensive tests for GIS applications, ArcGIS tools, geospatial workflows, automated validation processes, and web mapping applications. Validate spatial data, geodatabase attributes, Real Property records, business rules, reports, dashboards, and integrations using SQL and scripting. Document defects, investigate root causes, verify fixes, and collaborate with GIS specialists, developers, and analysts. The role requires Esri GIS, Army Real Property and IGI&S knowledge, automated testing experience, and CAC eligibility.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Leads software quality assurance across enterprise applications, including SAP and legacy systems. Develops test strategies, plans, cases, automation, and traceability; leads system, integration, regression, end-to-end, and acceptance testing. Manages defects, evaluates release readiness, monitors quality metrics, supports production validation, and improves testing practices. Partners with technical and business teams, mentors junior QA engineers, and provides guidance on testing standards and quality-focused delivery.

Build and maintain Airbnb’s cloud infrastructure platform, including developer APIs, CLIs, Kubernetes automation, service provisioning, autoscaling, multi-region capabilities, and AI-native agent workflows. Improve platform reliability, security, scalability, and developer experience; contribute to open-source infrastructure projects; debug production issues; and collaborate with engineering teams across Airbnb.

Leads development and sustainment of secure, scalable production software using AI coding agents. Designs agentic development environments, orchestrates parallel workflows, validates AI-generated code, and integrates LLM platforms and conversational voice technologies. Advances cloud-native engineering, testing, APIs, databases, automation, and compliance practices while mentoring engineers and influencing technical stakeholders.

Lead end-to-end technical ownership for an e-commerce platform service area. Design, build, and ship production features; modernize legacy systems; establish architecture and engineering standards; optimize platform performance; plan roadmaps and sprint priorities; mentor engineers; improve developer productivity; and contribute to hiring. The role requires hands-on TypeScript, JavaScript, React, Node.js, AWS, Python, and Django experience in a remote United States or Canada environment.

Provides technical leadership for brokerage and RIA technology platforms, defining architecture, standards, roadmaps, and reusable AWS serverless data-integration capabilities. Leads complex cross-team initiatives, architecture reviews, technical risk resolution, and solution delivery while remaining hands-on. Partners with business, product, cybersecurity, and engineering leaders, mentors senior engineers, evaluates emerging technologies, and promotes scalable, secure, observable, and reliable engineering practices.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.