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

Design, build, and deploy scalable contracts management features using Python and AWS. Collaborate with teams to implement backend services and maintain a growing React project.

Support and scale internal SaaS infrastructure and Help Desk operations. Build custom automations, API integrations, and dashboards using GCP and scripting. Deploy AI coding tools to accelerate workflows, partner with Security/Compliance on HIPAA/SOC2, maintain device and access management (Intune/MDM), provide remote hardware and conferencing support, and manage hardware/software lifecycle and runbooks.

Lead development and maintenance of cross-platform mobile apps using Flutter/Dart across iOS, Android, and web. Implement scalable architecture, integrate GraphQL/backends, support native build and release pipelines, collaborate with product/design/AI teams, apply AI-assisted coding responsibly, troubleshoot performance and stability issues, and contribute to testing, CI/CD, and documentation.

Build and maintain full-stack features for a React/TypeScript frontend and NestJS/TypeScript backend, integrate LLM-powered conversational agents, design APIs, auth (SSO/SAML), real-time updates, background processing (AWS SQS), database schemas (PostgreSQL/Sequelize), API docs (Swagger), and tests (Jest/pytest). Collaborate on architecture, code review, and production support.

Design, develop, and implement OneStream financial management solutions: data integrations, cubes, workflows, dashboards, business rules. Gather requirements, support testing and UAT, deliver training, and collaborate with technical and functional teams to meet financial reporting needs in a federal environment.

Senior backend-focused engineer to provide technical leadership across backend, APIs, and data pipelines. Collaborate with product, design, and stakeholders, author documentation, and drive engineering best practices on a distributed remote team building scalable energy software.

Design and build full‑stack systems solving complex, regulated business problems. Own features end‑to‑end, collaborate with product and operations, incorporate AI agents, ensure quality, scale, and measurable outcomes, and engage directly with users and stakeholders.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

Lead a team of software engineers to deliver backend services, platform components, automation, observability, and AI-assisted tooling. Own end-to-end delivery, architecture, testing, and operational readiness. Drive engineering standards, cross-functional collaboration, hiring, coaching, and continuous improvement with emphasis on security, reliability, and scalable platform patterns.

Lead porting and performance analysis of diverse HPC applications on novel architectures. Profile node- and scale-level bottlenecks, design algorithmic/software solutions, translate application needs into software and hardware features, and develop performance models for future hardware.