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,Tower Pulse™, 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,and creative

Full-Stack Software Engineer to  join our teamand buildour platform. The software teammanages theentire stack–frombuilding and integrating novel modelswith

R&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.

• 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 from
  
  IIo Tsensors
• 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 Dev Ops tasks
• Championbestpractices with version control, CI/CD, unit and integration testing, code reviews, and writing clean, maintainable code
• Developon-premisesarchitecturesparallelto current cloud-based environments to run full IoTstackin sensitive computing environments

• 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
• Dev Ops experience with cloud hosted applications and databases
• Thorough understanding of distributed systems, designing for scalability, performance, and availability
• Working knowledge of SQL and No
  
  SQL database systems
• Experience with software development tools such as Git, Jenkins, and JIRA
• Experience with Agile / Scrummethodology