Full Stack Developer at Coulomb AI (S21)
$20K - $35K  •  0.01% - 0.10%
Battery Observability Platform for Electric Vehicles
Bangalore
Full-time
US citizenship/visa not required
3+ years
About Coulomb AI

Battery Analytics Software for Electric Vehicles

About the role
Skills: CSS, Flask, HTML, JavaScript, Python, SQL, Microservices

Mission of the Role (not the company)

To build a world-class AI-based Data Platform (more details coulomb.ai/JoinUs)

Responsibilities (day to day)

  • Actively driving and implementing technical concepts for our SaaS battery analytics platform
  • Breaking down difficult challenges and successfully delivering customer value on schedule
  • Participate in the entire application lifecycle, focusing on designing, coding, testing, documentation, deployment, debugging, and optimizing the application for the best performance
  • Work closely with cross-functional team members to own your solution from development to production
  • Design and develop secure & scalable backend architecture
  • Quickly troubleshoot production issues and come up with an appropriate RCA
  • Evaluate new technologies and participate in decision-making

Opportunities for Growth

  • Leverage your existing skills while learning and implementing new, open-source technologies as Coulomb grows
  • Be at a Senior Staff Engineer Level in a short while

Requirements from the candidate - hard skills and soft skills

Hard Skills:

  • A proven track record of launching and maintaining large-scale web products
  • Experience in designing software architecture based on business requirements, strategy and priorities
  • Mastery of one frontend (Javascript/React) and one backend (python/Java) language

Soft Skills:

  • Interest in working with Climate Tech and willingness to help accelerate the transition to emission-free mobility and green energy
  • Looking for a job with a purpose
  • Love solving technical problems
  • Willingness to learn and pick up new technology
  • You are a strong self-driven leader
  • Be nimble and adapt quickly to changing business conditions
Technology
  • Complex Data Engineering
  • ML Models to be build for accuracy and performance of the vehicle
  • Real time deployment of Algorithms
  • Predictive Analytics

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