Senior Backend Engineer

Centric Market Intelligence™ (formerly StyleSage), is an AI driven competitive assortment benchmarking and market trend insights solution for fashion, beauty and home goods brands and retailers.

We are a key innovation partner for iconic and emerging brands across the world.

Our Platform is able to analyze the info of more than 1.000 retailers, processing data from more than 600.000 brands, tracking millions of products!

You will be part of the Backend Team, where you will develop the processes and tools to keep that pipeline of data in excellent shape, fresh and available. To do that, we code in Python (and we love it, you may want to come to the PyCon Spain conference with us!), using Django as our main framework. As a cloud-native company, we run our code on AWS—sometimes on EC2 instances, but primarily by using Docker to run services and tasks on ECS —. We provision this infrastructure using Terraform and Ansible. Our massive amount of data lives in PostgreSQL databases, and we keep an eye on all this using observability tools like Grafana, Influxdb and Telegraf.

If you do not know a lot about some of those technologies, worry not, our engineers will be happy to support you while you are on your journey to becoming an expert in them.
 

What You'll Do:

· Write clean code and tests following good practices.

· Produce and defend proposals for new architectures or to change and improve current ones.

· Define best approaches to common tasks and implement helping tools.

· Communicate with other teams to coordinate joint initiatives.

· Mentor and support more junior members of the team and organization.

· Help monitor our infrastructure by keeping an eye on its metrics and alarms and developing new ones.

Your Skills:

· 5+ years of experience working as a software engineer.

· You have experience building backend technologies in Python.

· You have experience designing, implementing, and scaling cloud-native software on providers like AWS.

· You have a growth mindset, are curious and not afraid to be experimental. You share your ideas and continuously improve yourself and the team around you.

Tools for the job:

· Python · Django, FastAPI and Celery

· SQL, PostgreSQL

· AWS

· Docker
 

What we offer:

· 100% remote work

· Training and conference budget

· Health insurance

· Life insurance

· Private pension plan