Senior Software Engineer - Edge Computing

| Greater NYC Area
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!!

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Technology we use

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Location

415 Madison Avenue, New York, NY 10017

What are Prescriptive Data Perks + Benefits

Culture
Friends outside of work
Eat lunch together
Intracompany committees
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Retirement & Stock Options Benefits
401(K)
Performance Bonus
Child Care & Parental Leave Benefits
Flexible Work Schedule
Acme Co. provides employees with a flexible work schedule that includes Flexible start and end times.
Remote Work Program
Family Medical Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Happy Hours
Happy hours are hosted Once per week.
Professional Development Benefits
Job Training & Conferences
Promote from within
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