Top Remote Software Engineer Jobs in Phoenix – Mesa – Scottsdale, AZ

Lead the design, development, modernization, and governance of enterprise customer-data applications and integrations. Manage operational data stores, system dependencies, IAM integrations, security, compliance, DevOps practices, deployments, and production support. Define target-state architectures, guide technology modernization, oversee vendor teams, troubleshoot critical issues, and communicate technical strategies across business and technology teams while mentoring junior engineers.

Develop and optimize Oracle databases for high-volume government applications. Responsibilities include data modeling, database architecture, SQL and PL/SQL development, performance tuning, testing, production support, reusable database object development, technical design, code-quality standards, peer reviews, documentation, and CI/CD integration for database changes. The role may also contribute to Java Spring Boot microservices and Angular/TypeScript front-end applications while collaborating with development, DevSecOps, design, and analytics teams.

Develop, deploy, maintain, and customize Oracle E-Business Suite applications and EDI integrations. Responsibilities include PL/SQL development, Sterling B2B process and mapping, technical design, requirements analysis, testing, deployment, production support, troubleshooting, reporting, forms development, and integration issue resolution. The role supports finance and supply chain modules, participates in a 24/7 on-call rotation, and collaborates with business analysts and stakeholders.

Leads and develops a team of mobile software engineers building NPR applications. Responsibilities include coaching, hiring, Agile delivery, technical planning, code and design reviews, workflow automation, production incident response, vendor coordination, and cross-functional collaboration. The role requires prior hands-on mobile engineering experience, proficiency in native iOS or Android technologies, release infrastructure, Git, and Agile/Scrum practices.

Design and deliver improvements to Wikipedia’s wikitext processing infrastructure, write PHP and JavaScript, maintain internet APIs, instrument components, and use caching and persistence technologies. Collaborate across engineering, product, design, client, and volunteer communities; own complex technical projects, make architectural decisions, maintain reliable high-performance software, write tests, address security feedback, and mentor engineers.

Designs and develops hyperscale Azure Storage backend technologies, improving reliability, scalability, observability, and engineering productivity. Leads technical strategy and high-impact initiatives across teams, architects engineering systems and pipelines, advances test automation, investigates networking and deployment issues, and improves development workflows. Responsibilities include coding, requirements analysis, design documentation, estimation, dependency identification, and on-call response for service degradation and outages.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Develop and maintain internal low-code applications and AI agents using Microsoft Power Platform and Copilot Studio. Support API and database integrations, automated testing, Agile delivery, documentation, and enterprise workflow automation. Collaborate across teams to build conversational AI, predictive analytics, and autonomous decision-making solutions while ensuring security, compliance, ethical use, accuracy, and reliability.

Design, develop, and maintain full-stack applications and services to support operations for genetic lab tests. Collaborate with stakeholders to define requirements, build sustainable applications, improve development processes, handle PHI under HIPAA training, and pass background checks.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.