About this role
We’re SmartThings , one of the leading IoT ecosystems in the world, creating the most effortless way for anyone to create a smart home. We're a wholly owned subsidiary of Samsung with corporate offices in Minneapolis and the Bay Area. More than 430 million people worldwide use SmartThings to control and manage their connected life. SmartThings delivers simple, powerful experiences across Samsung’s leading portfolio of phones, TVs, and appliances. We also offer the most versatile smart home experience as an open platform with a rich partner ecosystem (think IKEA, SONOS, Honeywell, and so many more). As a founding member of Matter, we are a leader in the industry to help make smart homes more secure, reliable and seamless to use. Come be a part of the leading edge of IoT innovation! As a Senior Software Engineer on the Apps & Behaviors Services team, you'll take ownership of complex features and technical challenges within the platform powering SmartApps and Rules & Automations across the SmartThings ecosystem. You'll act as a technical lead — decomposing ambiguous problems, driving solutions from design through delivery, and identifying gaps where the platform can be made more scalable and reliable. Alongside your own contributions, you'll mentor other engineers and help raise the technical bar across the team. This role is hybrid, 3 days/week in our Minneapolis Office (on iconic St Anthony Main across from Downtown...with attached parking at no cost to you!) The pay range for this role is $117,000 to $158,000, with an annual bonus target of 20%. In this role, your primary responsibilities will include the following: Act as the technical lead for complex features and initiatives within the Apps & Behaviors Platform (the systems powering SmartApp and Rules & Automations execution) independently decomposing ambiguous requirements into clear, executable plans. Apply strong working knowledge of AWS infrastructure to design and build scalable, reliable components, following AWS Well-Architected best practices. Adopt AI-assisted engineering practices in your own workflow and help teammates apply them to speed up debugging, testing, triage, and delivery. Own your features end-to-end — from application code through the infrastructure and release changes they require — improving the reliability, maintainability, and observability of the systems you touch. Identify gaps in existing solutions and propose more effective technical approaches to improve efficiency and scalability. Provide technical guidance and mentorship to other engineers, meaningfully contributing to their growth.