Eder Labs

Senior Backend Engineer

Quick Overview

3 - 6 Years

Skills and expertise you’ll require

SQL/ NoSQL

MongoDB

Python

Roles and Responsibilities

Company Description
We at EderLabs are building a secure data and intelligence sharing platform for Enterprises.
Our product, Fluid, helps our customers collaborate with their partners, exchange data and derive intelligent insights in a secure way, all while protecting the data privacy. Fluid’s workflow of trust enables data scientists and engineers from different organisations to work together on their data in a privacy preserving way and share intelligence without sharing the data.
EderLabs is backed by one of the biggest investors in the world who support us in our mission to change the future of how intelligence is gained and learned.
If you enjoy working in a fast-paced dynamic environment, love working on new challenges, technologies and care deeply about building innovative and beautiful products that users love, then we might be a right fit for you.
As a part of this role, you’ll experience how companies and products are built from ground up, and get to own and lead critical parts of the product roadmap.
Responsibilities:
Own backend design, architecture, implementation and delivery of products and features critical to improving scale, robustness and security of the platform
Collaborate with a cross functional team of engineers, product managers to develop, test and launch new features
A person who can write migrations, maintain, and manage postgres DB.
Should take ownership of our DB.
Should have worked on authorization/authentication mechanism in python.
Familiarity with Auth0 is preferred.
Understands how to secure API endpoints.
Familiar with AWS concepts on -> EC2, VPC, RDS, and IAM
Experience and understanding of docker an docker-compose.
Experience setting up and managing ELK stack
Experience with Rabbit MQ
Ideal Candidate will have :
3-6 years of of full time working experience as a Backend Engineer in a team environment.
Experience deploying and managing scalable SaaS products (B2B).
Good to have experience using docker and familiarity with docker ecosystem.
Tools / Framework requirement:FastAPI, Airflow, Kafka, RabbitMQ, Django, Postgres, familiarity with Machine Learning tools like Jupyter notebook, Tensorflow/pytorch, Good understanding of Asyncio library in python, pytest familiarity preferred

LATEST FUNDING

VC Funded

LOCATIONS

Palo Alto

+ 1 more

EMPLOYEES

11-50

DOMAIN

IT Services

+ 1 more

ESTABLISHED

2018

WEBSITE

VISIT URL

Perks

Employee Wellbeing

With our health insurance programmes, mental well-be...

Health and Wellness

We have several health and wellness programs in plac...

Work remotely

We are the pioneers of the future and we believe in ...

Fluid Data Access: A walkthrough

We’re excited to release our product Fluid for public beta access! Sign up link - https://fluid.eder.io/signup Paging professionals with roles such as #dataengineer #dataanalyst #datascientist working on #datasets that belong to #partners or #customers in the #Fintech spectrum. With Fluid, teams that build data products can now gain #superfast #access #sensitive datasets from their partners and customers...

Fluid | Access sensitive data | Collaborate with partners

Save months of development and non-engineering effort to set up a data access pipeline with your partners while giving your partners control over the privacy and security of their data.

Office Locations

Palo Alto

Bangalore