Senior Backend Engineer

Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.

Read about the release here:
https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nanonets-automation/?sh=6d79ec8f3ca1

https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

About the role

As a Backend engineer, you should be comfortable with backend (Preferably Golang) . You will be primarily working on shipping new features like new integrations, enabling more machine learning API’s, building complex workflows. You will also work on optimizing response times, building features that will scale to 100’s of millions of documents we process every month.

What we expect from you

• B.Tech/B.E background from Tier 1 college
• Backend experience - Preferably golang
• Databases - Understanding of data modeling for SQL preferably MySql/PostgreSQL
• Strong fundamentals in OOP design patterns
• Agility in shipping features
• Curiosity and Willingness to learn new things while solving a challenging problem
• Learning and incorporating best practices in software development, security and design/architecture
• Bonus if you have working experience with AWS/GCP

Some of the interesting features we have shipped in backend

• Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
• Autoscale GPU dependent services with kubernetes with a custom metric
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
• Process large number of files in highly distributed manner in golang