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Lead Platform Developer

Experience: 5+ Years   |   Location: Bengaluru

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About Coulomb

Coulomb is building the largest battery data platform. We have thousands of cells, battery & vehicles connected to our platform that complete millions of electric miles a month, and will grow to complete billions of tasks monthly that comes with a host of interesting technical challenges. From product to systems to infrastructure engineering, we are tackling it all to accelerate the development of AI for Batteries

You will work on

   Design and implement the data infrastructure platforms including data ingestion, data consumption, and stream processing on AWS

   Contribute to the design, development, and delivery of the team projects’ roadmap

   Oversee the collection and analysis of key metrics and reporting dashboards to monitor enterprise data platform performance and reliability

   Support the development and maintenance of data engineering guidelines, policies, standards, and process narratives for in-scope business functions

   Making sure that we have an efficient development, testing(unit, E2E), and deployment process by improving our CI/CD pipelines

   Work closely with the entire Team to jointly deliver secure and easy-to-use products to our customers

The impact you will have

   Work across the entire product lifecycle from conceptualization through production

   Help build trust in new electrification technology through data

   Use your creativity and imagination to build excitement around data engineering, data science, and machine learning technologies toward solving climate change

Ideally you'd have

   5+ years of experience in handling Big Data Systems in a production environment

   Technical domain expertise in one or more of the following areas: Real-time Real-time processing frameworks. Data Modelling, Data warehousing, Microservices, Cloud Infrastructure and ETL tools

   Deep understanding of large-scale distributed systems (theory and practical experience), design patterns, and object-oriented design principles

   Experience working with cloud technology stack (eg. AWS or GCP) and deploying machine learning models in a cloud environment

   Entrepreneurial, 'can do' attitude - ability and willingness to make an impact in a start-up

Nice to have:

   Basic understanding of Machine Learning

   Prior startup experience

   Ability & comfort taking architectural decisions autonomously and proactively.