The role and the team

We are a cross-functional team combining software engineering and data expertise. Our long term plan is to build a world-class platform for A/B testing at scale and foster a culture of experimentation in the company. As a data-driven company, we want experiments to drive every one of our business decisions. This role therefore has the potential for organization-wide impact. You will work with front and backend engineers, data engineers, and data scientists.

Together, we’ll build and maintain an end-to-end solution for increasing the speed and power of experimentation at HelloFresh. Our tech stack includes big data processing pipelines, microservices for allocation management, third party tools for experiment configuration and statistical analysis, and SDK integrations for web, backend, and mobile platforms.

What you’ll do

• Take ownership of the architecture, design, development, deployment, and operations of the microservices you will build, using DevOps expertise, pair programming, and other best practice methodologies.
• Raise the bar for experimentation in the company by serving as an ambassador for the proper implementation and evaluation of experiment designs.
• Collaborate in an autonomous, cross-functional team with product owners, frontend engineers, data engineers, and business stakeholders.
• Develop an in-depth understanding of HelloFresh’s core product and architecture
• Mentor and support colleagues, and share your knowledge across multiple experimentation teams and the rest of our tribe.
• Leverage state-of-the-art technologies, such as Kafka, Spark, Airflow, Kubernetes, Istio, and more.

What you’ll bring

• Solid backend experience within microservices architectures using Golang.
• You embrace CI/CD methods and practices.
• Experience working with event-driven architectures using infrastructure like Kafka, RabbitMQ, etc.
• Experience working with relational databases, like PostgreSQL, and object stores, like AWS S3.
• You thrive when given the opportunity to collaborate and mentor team members, while also sharing practical knowledge and industry trends.
  
  Nice to have
  
  
• Working with large scale data storage and processing technologies like Spark and Airflow.
• Experience working with Docker and container orchestration technologies such as Kubernetes.
• Experience with any client-side platforms and languages (e.g. TypeScript, React, Swift, or Kotlin).

Interacting with frontend developers, data engineers, product managers, and our teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as role models and coaches for team members and stakeholders.

#Decisions