Full-Stack Software Engineer

Born at MIT, Infinite Cooling iseliminatingcooling bottlenecks across critical industries: In data centers, we unlock compute capacity by reducing cooling power needs. In power plants and industrial facilities, we increase output by lowering process temperatures. Our AI-driven software platform,TowerPulse™, uses proprietary Multiphysics AI algorithms trainedonlarge sets of real customer data to continuouslymonitorand optimize cooling tower performance, boosting cooling capacity while reducing energy, water, and maintenance costs. We are a venture-backed startup based in the Boston area, with over $20M raised.We have a growing base of customers and proven deployments, and we are now scaling our commercial team to accelerate growth. We are looking for a sharp,tenacious,andcreativeFull-StackSoftwareEngineerto join our teamand buildour platform. The software teammanages theentire stack–frombuilding andintegrating novel modelswithR&D,tosculptingandmaintainingour database infrastructure for scaling requirements,to deployment of production features for our front-end and customer integrations.Strong communication, flexibility, and the desire to “wear many hats” will all be essential skillsfor a successful applicant. What you will do: Take ownership over software development and driving early-stage MVPs Build, debug, test, release, andmaintainsoftwareapplications hosted in a cloud environment that process and analyzelarge amountsof data fromIIoTsensors Design and develop resilient systems and front-end components for a customer-facing web application Develop,maintain, and deploy software for Edge Computing, and Cloud hosted applications includingassociated DevOps tasks Championbestpractices with version control, CI/CD, unit and integration testing, code reviews, and writing clean, maintainable code Developon-premisesarchitecturesparallelto current cloud-based environmentsto run full IoTstackin sensitive computing environments Preferred skills and experience Bachelor’s degreein Computer Scienceor related fields Experience designing implementing cloud-based services in either AWS (preferred), Google Cloud Platform or Microsoft Azure Experience with time-series databases andtime-seriesdata engineeringarchitectural patterns Experience improving developer experience/tooling and providingtechnicalsupport to teammates Experience with hardware-software integration Experience with embedded & edge runtimes Experience with MQTT Extensive experience using AI-assisted coding environments DevOps experience with cloud hosted applicationsand databases Thorough understanding of distributed systems, designing for scalability, performance, and availability Working knowledge of SQL and NoSQL database systems Experience with software development tools such as Git, Jenkins, and JIRA Experience with Agile / Scrummethodology #J-18808-Ljbffr