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

Lead Software Engineer responsible for leading design and development of scalable software systems, setting technical direction, mentoring engineers, ensuring code quality, collaborating with product and stakeholders, and driving on-time delivery and engineering best practices.

Lead the development of Caterpillar's ERP and Dealer Integrations. Oversee implementation, manage a team of developers, and ensure quality and performance standards are met.

The Core Banking System Architect - Director at PwC is responsible for leading the design and implementation of core banking technology strategies, ensuring systems align with business objectives and regulatory requirements while mentoring teams and fostering client relationships.

The Software Engineer Sr designs, develops, tests, and maintains software solutions while addressing complex business needs and creating technical documentation.

Design, develop, test, and maintain software solutions with a focus on cloud-native technologies, agile practices, and technical leadership in software engineering.

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.

The Software Engineer collaborates with a team to design and implement enterprise customer experience software, focusing on Java, REST APIs, and cloud technologies while managing multiple projects.

Design, develop, test, and maintain front-end, back-end, or full-stack software, APIs, and integrations. Troubleshoot defects, participate in code reviews and Agile ceremonies, work with relational and NoSQL databases, deploy to cloud environments, and leverage AI-assisted tools while learning and growing technical skills.

The Specialty Solutions Engineer will design and architect technical solutions in observability, partner with sales, and support customer engagements. Responsibilities include advising on solutions, developing relationships, and participating in pre-sales documentation.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.