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

Administer and govern PDM/PLM systems (Autodesk Vault, SolidWorks PDM, PTC Windchill). Ensure engineering data integrity, BOM and item/master alignment, troubleshoot multi-CAD issues, support upgrades, migrations, and governance activities, and collaborate with engineering, IT, manufacturing, and business stakeholders.

Seeking a full stack engineer to develop applications, requiring skills in Node.js, SQL, and modern JavaScript frameworks with a focus on scalability and performance.

Lead and technically supervise cross-functional Agile teams building and rearchitecting HIS software products. Hire, mentor, set technical direction, prioritize backlogs, drive CI/CD and quality, coordinate with product and business stakeholders, and champion Agile practices to deliver cloud and on-premises solutions that improve healthcare outcomes.

Build and own production backend services in Python for a large-scale ecommerce search platform. Work with SQL-heavy systems, monitoring/alerting, and debugging user-facing systems. Deliver maintainable software via tests, code review, and incremental delivery. Collaborate on data integrations and optional ETL/ELT workflows with PySpark; apply SEO, API/auth, and unstructured data knowledge when needed.

Perform application administration and integration development: manage users and security, coordinate releases, create backup/test plans and documentation, develop and maintain EAI/EDI and webMethods integrations, build SOAP/REST APIs, monitor/troubleshoot production interfaces, and support high-availability manufacturing workflows.

Embed with strategic clients to design, build, and ship production Python code and data pipelines. Integrate RESTful APIs, optimize complex SQL, architect scalable data workflows, lead technical discovery and workshops, and translate operational needs into product improvements while ensuring mission-critical outcomes.

Design, build, and scale low-latency distributed platform components; define technical vision and architecture; collaborate with product and ML teams; evaluate build-vs-buy decisions; prototype research breakthroughs and deliver robust, production-grade services.

Design, build, and operate AI-driven, cloud-native distributed systems for high-volume document ingestion and search. Build Elasticsearch ingestion pipelines, message-based consumer services, containerized solutions on Azure/AWS using Docker and Kubernetes, improve reliability and observability, and contribute via code reviews, automated testing, and cross-team collaboration.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.

Build and ship first-party risk management features end-to-end: risk registers, risk scoring, control testing, monitoring, and framework integrations. Implement backend services/APIs and React/TypeScript front-end components, collaborate with product/design/QA, and ensure data integrity and test coverage in a compliance-focused SaaS product.