Top Remote Software Engineer Jobs in Phoenix, AZ

Build and scale full-stack features for a highly available SaaS platform serving millions of K-12 students. Responsibilities include developing React and TypeScript frontends, backend services, APIs, PostgreSQL data models, infrastructure, and data pipelines; mentoring engineers; conducting code reviews; setting technical direction; collaborating cross-functionally; and participating in on-call support.

Senior Software Engineer responsible for compliance validation, defect remediation, production migration support, monitoring, and operational documentation for a federal ESA Section 7 data integration platform. The role validates decision logic and consultation routing, develops migration runbooks and rollback procedures, resolves critical application defects, supports post-deployment operations, incorporates user feedback, and enforces code review and version control practices.

Designs, builds, and optimizes CI/CD pipelines across legacy mainframe and AWS environments. Automates workloads, integrates testing, maintains APIs, supports application integration, troubleshoots deployment issues, and improves DevOps processes. The role also supports software developers in an Agile/Scrum environment and contributes to modernization efforts bridging z/OS systems with cloud platforms.

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.

Design, build, and scale highly available backend and frontend systems powering Coinbase trading experiences for millions of users. Architect extensible support for multiple trading types and assets, evolve critical production infrastructure, partner with product and design, and promote engineering quality through code reviews, mentorship, and knowledge sharing.

Build and own automation systems that eliminate friction across engineering, operations, and compliance. Responsibilities include regulatory workflow automation, CI/CD and developer productivity tooling, AI- and LLM-enabled internal workflows, system integrations, and reliable production software with testing, observability, auditability, and failure handling.

Build and maintain reliable integrations between UpDoc and healthcare systems, EHRs, and external APIs. Own integration projects from discovery and architecture through deployment, monitoring, troubleshooting, and maintenance. Develop Python APIs and backend services using FastAPI and Pydantic, implement healthcare interoperability standards, handle failures and data integrity, and create automated tests. Collaborate with healthcare technology stakeholders while supporting security, HIPAA, SOC 2, observability, and clinical reliability requirements.

Build and maintain Python backend services, APIs, healthcare integrations, and reliable platform infrastructure. Collaborate with product, frontend, engineering, and clinical teams to define functionality, ensure safety, troubleshoot production issues, and deliver projects end to end. Contribute to DevOps, CI/CD, observability, testing, code review, and technical architecture for an AI-powered healthcare platform.

Design, develop, deploy, and maintain scalable cloud applications and client-installed agents using C# and .NET. Own platform integrations, troubleshoot production issues, optimize performance and costs, improve testing and automation, and uphold software security and quality. Collaborate with product, architecture, UX, support, and customers; contribute to technical and architectural decisions; and mentor engineers. The role also requires polyglot development across integrations and familiarity with cloud security, PAM, Azure, CI/CD, and automation practices.

Leads full-cycle technical implementations of a cloud-based digital banking platform, translating client requirements into configurations, custom SDK/API solutions, integrations, data conversions, testing, and production launches. Manages client environments, troubleshoots technical issues, supports post-launch operations, and coordinates with Product, Engineering, Services, and Support teams. The role also improves implementation processes, documents technical specifications, manages risks, supports performance testing, and mentors junior team members.

Build and improve RWX’s developer, build, and test cloud across product areas. Work as a generalist on UI, infrastructure, Linux systems, CI/CD, and reliability. Own planning, execution, releases, architecture, integration testing, and product decisions while maintaining high software quality and thoughtful use of AI agents.

Design and implement Kotlin backend services and end-to-end systems for Toast POS device management. Lead technical designs, estimations, performance optimization, cross-team collaboration, and software quality practices including modern testing and observability. Mentor peers and drive product roadmap alignment with product, hardware, and QA stakeholders.

Lead and deliver quarterly goals for a backend team; guide engineers through ambiguous problems; collaborate with product, design, and analytics; identify and resolve project and technical issues; ensure operational availability and on-call readiness; set code and design quality standards; and mentor and develop team members.

Sets technical direction for Helix’s Experience platform and broader engineering organization. Designs and implements distributed, full-stack genomic software systems focused on patient and provider experiences. Leads complex projects from scoping through production, advances AI-assisted engineering practices, establishes quality and delivery standards, mentors technical leaders, and drives cross-functional collaboration with product, design, research, scientific, and business teams.

Build and own scalable payments infrastructure for card issuing, transaction processing, and settlement. Design reliable integrations with Stripe, banking partners, and internal platforms using .NET, C#, Azure, DDD, CQRS, and event-driven architectures. Improve system reliability, observability, performance, security, and compliance while mentoring engineers and contributing to technical direction. Apply AI-assisted development across coding, testing, debugging, and engineering workflows.

The Senior Backend Software Engineer will design and scale backend systems using Python and FastAPI, collaborate with researchers, optimize infrastructure, and implement testing and monitoring systems.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

Design and build enterprise LLM-serving infrastructure on Kubernetes, including GPU scheduling, scaling, model lifecycle management, Helm packaging, offline deployments, platform integrations, and production observability. Contribute across a multi-service Go codebase, create design documentation, participate in reviews, and help guide engineering direction within an autonomous remote-first team.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

The Senior Bilingual Software Engineer will align U.S. teams with the Platform Core team in Japan, focusing on high-impact problems and maximizing platform leverage through clear communication and collaboration.

Design, build, and maintain scalable real-time and historical data pipelines and libraries; implement APIs, data quality checks, monitoring, and performance-optimized workflows; collaborate with autonomy, platform, and front-end teams to support fleet data analysis and visualization.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Develop and enhance software solutions for mineral exploration, collaborating with geologists and data scientists, and driving insights from data systems.

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