Position: Middle/Senior DevOps Engineer
Company: Grid Dynamics
Experience required: 5y
English level: upper

**Project description**
The client's eCommerce re-platforming project (event streaming workstream):
The client's existing eCommerce stack is on Hybris, with a highly customized integration with SAP. 
In order to support future growth, the mission is to build out a new commerce platform on MACH technologies to create a technical platform that can scale with the % year-on-year growth planned for the business. 
The client favors a 'big bang' approach for their B2C website launch in the UK in June 2023. 
We are tasked with building out the commerce website using commercetools (commerce engine), Algolia (CMS), and Amplience (Search), to interface with a Mulesoft integration layer to the client's downstream systems.

**Client description**
A British international shoe manufacturer and retailer. 
Mainly known for footwear & best known for quality children's footwear.   Known as pioneers and innovators with quality at the heart of everything they do.  

**Details on the tech stack**
This role will focus on the Event Streaming workstream using Confluent Kafka.


The rest of the project for context involves:
- The three key best-of-breed technologies which will form the crux of the overall solution are commercetools (to power commerce capabilities), Amplience (CMS to facilitate the content management capabilities), and Algolia (search provider to power the search capabilities)
- Next.js will be  used for the Storefront build (React)
- AWS is the chosen infrastructure for any custom solution hosting (e.g      storefronts, extensions to commerce tool and Amplience, etc,) and deploying  microservices
- The code base will be built and maintained as a Mono Repo and Rush will be used as the mono repo management tool
- Funded Training will be provided before the build phase kicks off in commercetools, Algolia and  Amplience

**Min requirements**
- AWS
- Terraform
- Kafka or Confluent or Kinesis
- CloudWatch or Datadog or Prometheus or ELK or Splunk
- GitLab CI/CD or GitHub Actions