The purpose of the Data pipeline team is to ingest a large amount of data into our application reliably and at a high rate. As a member of our team, you could work on components that need to scale to process tens of thousands of requests per second. We scale our microservices horizontally to tens of instances thanks to Kubernetes and Google cloud. Our microservices push data through Kafka and use many storages like Redis and Mongo.
If you are passionate about scaling, microservices, pushing the performance to the limit, and you want to work with distributed systems, the Data pipeline team is the correct team for you.
Your daily routine in our team may include:
Developing and maintaining our components to be more reliable, maintainable, and scalable.
Collaborating on the design of distributed, business-critical systems.
Working together with DevOps engineers to monitor and improve our components in production.
What you might like about this role:
The perks and challenges of our projects:
We have one of the best Customer Data and Experience Platforms (CDXP) in the world. Our clients love what we do, which is reflected in our high Net Promoter Score. You can participate by suggesting new product features and ideas.
Our components process tens of thousands of events per second so that our marketing automation, analysis, and web layers can deliver value to the customer in near real-time.
When we work on projects we work together on the solution with product, security, and business to deliver the right solution at the right time. You will have a great impact on what we build and how we build it.
Our biggest challenge is our growth. We need to constantly think about how we can make our services robust, scalable, reliable, and at the same time how to keep the maintenance low.
To keep up with the pace, every team member is encouraged to learn continuously. That is why one of our bonuses is a very sweet education budget.
What you can learn with us
Deepen your familiarity with the Python ecosystem (libraries, frameworks).
Get hands-on experience with service-oriented architecture with a focus on performance and scalability.
How to maintain code in production deployed in Kubernetes.
Learn more about of monitoring and observability.
Our tech stack
Python, GO
Google Cloud Platform
Kubernetes
Apache Kafka
Mongo, Redis
We are looking for an engineer with:
At least 2 years of experience in Python programming.
Good grasp of software development techniques (debugging, testing, code review, etc.)
Familiarity with basic data structures.
Basic understanding of Docker on a user level.
Interest in GO.
Willingness to learn and dive into complex problems.
Ability to clearly communicate.
Critical thinking.
Excited? Join us and change how the customer experience can look like.
Bloomreach is the leader in Commerce Experience™. Bloomreach Experience, the digital experience platform built for commerce, includes three pillars: Discovery, offering AI-driven search and merchandising; Content, offering a headless CMS; and Engagement, offering a leading CDP and marketing automation solutions. Together, these pillars form the only platform that combines the power of unified customer and product data with the speed and scale of AI optimization. For more information, visit Bloomreach.com.