Job Description

We are a team operating across a diverse array of backend systems encompassing the management of the PD machine learning platform through our Analytics Engine, a cloud-based “DMZ” where we deploy our cloud-cloud and sensor-cloud integrations, and lastly our remotely deployed edge-computing devices installed onsite on our clients’ networks for direct integration to their building management systems. We are looking for candidates comfortable working on a python microservice for executing machine learning algorithms one week, and the next troubleshooting an inscrutable network issue preventing data from flowing from a client’s building.

Responsibilities

• Build and maintain robust and scalable integrations to third party clouds and sensors.


• Participate in the development of our next-generation Analytics Engine for running PD’s machine learning algorithms stably and at scale.


• Maintain and upgrade code on our edge-computing devices


• Troubleshoot and resolve production issues across all of our domains


• Work with Engineering management to develop technical specifications for new projects


• Research and distill key attributes of potential integrations oftentimes with limited documentation


• Work with Customer Success team to address technical requests from new and current clients


• Participate in cross-functional discussions and planning with other engineering teams


• Work with Product team to problem solve and create solutions to deliver on our company mission


• Stay up to date with relevant technologies/trends and apply them to operations and activities


• Other duties may be assigned as our company and team continue to grow

Skills & Abilities

• Proficiency in JavaScript or Python - both would be great!


• Experience with Node.js


• Data modeling


• Familiarity with cloud technologies, AWS preferred.


• Knowledge of DevOps and SysAdmin tools and practices, especially Docker, CI/CD, bash, and Linux


• Understanding of computer networking and tools such as nmap, tcpdump, and wireshark


• Tenacity when pursuing bugs or issues with limited access to deployment environments


• Focus on efficiency, clean code, and process improvement


• Willingness to stick with a challenging project and see it over the line regardless of difficulties


• Maintain composure under pressure


• Fast, self-directed learner with a strong technical acumen

Nice to Haves

• Experience with Spark and Databricks


• Machine Learning certificate or equivalent experience with applying ML technologies in production

Education & Experience

• Four (4) year bachelor’s degree in computer programming, computer science or a related engineering or scientific discipline required, or equivalent work experience.


• 5+ years production-level development experience, primarily in backend environments.

We take care of you!

• Great benefits, including medical and dental all starting on your first day. 


• 401K Plan. 


• A great place to work!!