Senior Backend Engineer at Coulomb AI (S21)
$30K - $40K  •  0.01% - 0.20%
Battery Observability Platform for Electric Vehicles
Bangalore
Full-time
3+ years
About Coulomb AI

Battery Analytics Software for Electric Vehicles

About the role
Skills: Flask, Kafka, Google Cloud, Data Modeling, Amazon Web Services (AWS), Spark

Do you want to join a fast-growing climate tech startup with real impact?

About Coulomb

At Coulomb AI, we envision a future powered by the seamless integration of AI and Battery Technologies, creating a powerful synergy to combat climate change. We build category-leading software that can significantly improve battery lifespan and performance by employing advanced predictive analytics, real-time monitoring, and adaptive battery management algorithms.

Coulomb is headquartered in San Francisco with its development and research center in Bangalore. Founders Khushboo Shrivastava and Santanu Mondal are alumni of IIT Bombay and have first-hand experience working on first-generation Electric Vehicles at General Motors. We are backed by some of the best climate tech investors in the world, including Y Combinator, Harvard Management Seed Capital, CSVE Ventures, and prominent Silicon Valley-based Angels.

We already have a global presence with customers in 5 countries across UK, US, APAC and India

Yet, we’re still at the start of our journey, and we want exceptional people to join us!

About the Role

What it means to be an early engineer

Being part of the founding team, you will have the opportunity to shape the future of sustainable energy. Together, we’re going to face the hardest technical challenges this journey has to offer head-on. As the team grows, you’ll be the battle-hardened expert that everyone looks to for guidance. Your role will be pivotal in building a mission-critical analytics platform that encompasses predictive ML models, real-time analytics, and user-friendly dashboards.

As a Senior Backend Engineer, here’s what you’ll be doing

  • Build the foundation for cloud-native & multi-tenant AI platform for battery modelling & analytics.
  • Develop a real-time alerting system using modern streaming stack(Kafka, Spark/Flink).
  • Develop data transformation models for real-time ETL processes using Pandas & Polars
  • Design and Develop secure and scalable API using Flask with access control, and pagination.
  • Implement optimizations and enhancements to improve API performance, including reducing load times and minimizing resource consumption
  • Design and maintain database schemas for optimal data storage and retrieval
  • Develop and maintain a comprehensive suite of unit tests, integration tests, security tests, and end-to-end tests for the API
  • Deploy and configure infrastructure components such as databases, message queues, container runtimes, and - - - API gateways in cloud environments to build scalable, reliable, and cost-efficient cloud services
  • Implement robust monitoring and logging solutions to track system performance, detect anomalies, and troubleshoot issues promptly
  • Ensure faster release cycles using proper build, test, and deployment strategies

We are excited about you because you have:

  • Proven 4+ years of experience in designing and implementing scalable APIs using frameworks such as Flask/Django with a focus on performance optimization
  • In-depth understanding of web security principles and best practices. Ability to identify and address security vulnerabilities in code and infrastructure
  • Experience in real-time data processing using efficient ETL approaches
  • Proficiency in implementing and maintaining a robust testing strategy
  • Experience with various DBs like MySQL, PostgreSQL, Redis, etc.
  • Experience in working with cross-functional teams to understand data requirements and implement effective data models
  • Expertise in cloud infrastructure deployment and building monitoring framework in AWS, GCP
  • Experience in CI-CD deployment
  • Strong commitment to writing clean, maintainable, and well-documented code.
  • Familiarity with tools and methodologies for code analysis and profiling.

You’ll be a great fit if:

  • Previously worked in a startup environment and have a high degree of ownership and appetite for ambiguity
  • Like being a part of a high-performing team focussed on fast-paced execution at the same time detail-oriented
  • A relentless desire to solve customer problems and chase down answers
Technology
  • Complex Data Engineering
  • ML Models to be build for accuracy and performance of the vehicle
  • Real time deployment of Algorithms
  • Predictive Analytics
Interview Process

The number and format of interviews that you'll go through will be personalized to your skillset and the type of role that you're looking for. We want to give everyone the best chance at representing their abilities. Everyone starts with one or two interviews on a video call, and if we think there's a fit, we'll bring you onsite for a round of in-person interviews. Below is the sequence of the process.

  1. First Video Call - You should be prepared to talk about your background, experiences, and interest in Coulomb

  2. Writing Good Code - The ability to write code that is Efficient, Effective, Easy to read, maintain, and upgrade

  3. Analyzing the Efficiency of Code - The ability to analyze and improve the efficiency of code so that it runs with optimal complexity, creating systems that store and transmit data efficiently

  4. Technical Interview - You should be prepared to elaborate on your conceptual and practical experience to our Technical experts

  5. Culture Fit - Make sure we are aligned to work together

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