DevOps Software Summer Internship, Motorola Solutions

• We are looking for candidates who can help us build, scale and innovate as we develop our industry leading platform for access control and office automation. Strong analytical and software skills are a must in order to join our team, and we are particularly seeking candidates with experience and skills in multiple technologies, in order to contribute broadly to our team-centric approach to product development
• Currently pursuing a degree in Computer Science, Software Engineering, or a related field
• Experience with Python programming (either through coursework or previous projects)
• Familiarity with Go or interest in learning Go to extend existing Python-based tools
• Experience with databases, both relational and NoSQL
• Strong problem-solving skills and the ability to troubleshoot complex technical issues
• Basic understanding of unit tests and familiarity with testing frameworks
• Basic understanding of APIs and web technologies (RESTful APIs are a plus)
• Experience or familiarity with IoT devices and systems is a bonus
• Understanding of data structures and algorithms
• Excellent communication skills and a strong desire to learn and grow in a fast-paced, collaborative environment
• Candidate must be pursuing a minimum of a Bachelor's Degree (Computer Science, Computer Engineering, or other technical degree) with a graduation date of December 2026 or later

Desirable

• Our Dev Ops/Infrastructure Reliability team addresses a wide range of engineering tasks including support, analysis and improvement of the fleet of devices and their supporting services
• We are seeking a DevOps Software Intern to help us improve how performance metrics are gathered and evaluated for software updates across thousands of IoT devices. As part of this internship, you will help enhance existing tools written in Python, while also contributing to the development of new features in Python or Go to improve efficiency, scalability, and functionality
• Creating and extending tools for gathering key metrics
• Designing and implementing API's for populating new data
• Summarizing results
• Ensuring tools operate smoothly at scale
• This role provides an excellent opportunity to work with both Python and Go, while learning how to handle complex, large-scale data pipelines and IoT systems