Software Engineer Jobs in Tempe, AZ

Build, deploy, and maintain scalable microservices and REST APIs; implement unit and integration tests; consume/produce Pub/Sub events; collaborate with DevOps and business teams to ensure high-availability and data-driven decisions.

Design, develop, and test low-voltage electrical systems and control software. Lead feasibility studies, provide technical guidance to cross-functional teams, and apply controls programming (National Instruments or equivalent) and robotics experience to deliver engineered solutions.

Design, develop, and test low-voltage electronic systems; perform controls programming (National Instruments or equivalent); work with robotics systems; conduct feasibility studies and analyze technical requirements; provide technical guidance to cross-functional teams to deliver electrical engineering solutions.

Support and extend a Guidewire InsuranceNow-based policy administration platform: design, develop, test, and troubleshoot Java-based features and REST APIs; implement rating/underwriting rules; drive DevSecOps, CI/CD, security remediation, production support, upgrades, and mentoring on an agile team.

As a Senior iOS Engineer at Speechify, you'll lead key engineering decisions, ship production code, maintain the app architecture, and enhance user experiences for a growing user base.

Responsible for data collection to support model training, finding audio data sources, operating cloud infrastructure, and collaborating on dataset roadmap.

Design, develop, test, and release Java-based backend services on Linux/Unix. Build Spring-based microservices and RESTful APIs, work with relational and NoSQL databases, deploy to cloud providers, use Git and CI/CD pipelines, participate in design/code reviews, and mentor new team members.

Design, build, test, and support scalable front-end and back-end applications. Integrate APIs and LLMs, use generative AI-assisted tools, write unit tests, deploy to cloud, and collaborate with product and business stakeholders to deliver production software.

Lead technical ownership of manufacturing test and visual inspection automation. Provide expert support for production-critical issues, drive application enhancements, migrations, and modernization, partner with stakeholders to manage releases and technical risk, and maintain SDLC documentation, testing, and traceability for manufacturing systems.

The role involves leading engineering decisions, shipping production code, enhancing the iOS app architecture, and collaborating on product discussions to enhance user experiences.

The AI Engineer will develop user-facing features using TypeScript and React, collaborate on product ideas, and leverage AI coding tools in a high-velocity team environment.

Design, build, and support secure, scalable software systems. Lead components from planning through deployment, collaborate on scoping and testing, debug production issues, write clean tests and documentation, build internal automation, and mentor teammates while promoting technical excellence.

Design, develop, and productionize machine learning and generative AI solutions; build conversational AI and cloud-based systems; troubleshoot and support production; lead deployments; mentor teams; drive end-to-end delivery and responsible AI practices.

Design, build, and maintain infrastructure and processes to govern and scale enterprise AI tooling. Integrate data feeds for usage and cost metrics, support LLM lifecycle management and benchmarking, implement AI governance guardrails, collaborate with architecture and cross-functional teams, and create enablement documentation.

Lead design and implementation of wireless communication systems, optimize performance, integrate modems, and mentor engineers to enhance real-time communication in public safety devices.

Designs and implements middleware integrations and REST APIs using MuleSoft/WebMethods and other platforms. Authors RAML, builds DataWeave mappings and Lambda functions, writes unit tests (MUnit), mentors engineers, leads integration design and project planning, and documents integration best practices to meet business requirements.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on dataset roadmaps to enhance data quality for Speechify's products.

The Software Engineer, Platform will design and maintain APIs, oversee backend architecture, and collaborate with teams to enhance user experiences and meet business needs.

Build and ship frontend features that integrate LLMs and agentic workflows, writing clean TypeScript/React code. Translate vague product needs into technical plans, design APIs with backend teams, participate in design and code reviews, and ensure high-quality releases for AI-powered developer tooling.

Build and ship end-to-end features and small AI workflows using agentic coding tools. Design, instrument, and maintain systems, choose models and architectures, mitigate AI failure modes, protect user data, and mentor teammates. Engage with feedback and measure feature success while owning code quality, security, and production reliability.

Lead technical direction for agentic AI engineering across products, build shared AI primitives and MCP integrations, define standards and guardrails, modernize legacy systems, and mentor senior engineers while ensuring trust, security, and high-quality AI-driven development practices.

The Software Engineer 2 in the Data Domain will develop data pipelines, build ETL jobs, and participate in Scrum teams while learning from senior developers to grow technical skills in a collaborative environment.

As a Software Engineer, Platform, you'll design and maintain APIs, enhance backend performance, and ensure product alignment with user experience. Collaborate on B2B solutions and optimize backend services. Required skills include backend development in TS/Node and cloud provider experience.

Design, build, modify, test, and maintain software systems and e-commerce content for desktop and mobile. Perform coding, unit testing, validation, debugging, integration, and application support. Collaborate across teams, run Scrum ceremonies, provide status reports, perform code reviews and oversee team members. Integrate responsive web pages and email templates. Telecommuting permitted; up to 10% travel within the USA.

Lead architecture and engineering standards for an AI-agent driven full-stack travel platform. Drive adoption of agentic coding tools, design MCP integrations, modernize services, ensure security and SLOs, and mentor engineers across teams to raise engineering maturity and velocity.