Senior Software Engineer

Bloomreach is the world’s #1 Commerce Experience Cloud, empowering brands to deliver customer journeys so personalized, they feel like magic. It offers a suite of products that drive true personalization and digital commerce growth, including:

• Discovery, offering AI-driven search and merchandising
• Content, offering a headless CMS
• Engagement, offering a leading CDP and marketing automation solutions

Together, these solutions combine the power of unified customer and product data with the speed and scale of AI optimization, enabling revenue-driving digital commerce experiences that convert on any channel and every journey. Bloomreach serves over 850 global brands including Albertsons, Bosch, Puma, FC Bayern München, and Marks & Spencer. Bloomreach recently raised $175 million in a Series F funding round, bringing its total valuation to $2.2 billion. The investment was led by Goldman Sachs Asset Management with participation from Bain Capital Ventures and Sixth Street Growth. For more information, visit Bloomreach.com.

 

We want you to join us full-time in our Data Pipeline team. We work remotely first, but we are more than happy to meet you in our nice office in Bratislava or Brno. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin.

Intrigued? Read on 🙂…

Your responsibilities

• You will develop a data pipeline processing a large amount of data reliably and at a high rate using Python, Go, MongoDB, GCP and much more.
• For example, our clients feed their visitors’ behavior through real-time tracking to our platform. The data then can be analyzed and used for marketing automation. We process tens of thousands of requests per second 🚀. You may help improve the efficiency of our workers, improve monitoring or help with autoscaling of our infrastructure.
• Imports are critical for our clients to utilize our platform to the fullest. You may help us to improve the throughput and reliability of our imports as we need to import millions of rows of data or help us implement integration with another data storage.
• We also are responsible for exporting data from our platform to Google’s BigQuery using google’s DataFlows and Apache Beam allowing data access by our clients

From a new projects, we are building Data LakeHouse to serve data for various non-real time analytical usecases, using Google BigLake Manged tables, IceBerg open table format, AVRO with Parquet open file formats with DataProc (Spark, Flink, Presto) on top of it.

• You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes.
• You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!
• You will start on easier, self-contained projects and once you feel at home, you can move to real beasts. Challenging, complex projects that will leave a mark - we have plenty of those 💪.
• Later you might help us by participating in on-call rotation keeping our services up and running 🚀.

Your qualifications

• You have experience with Python and a solid grasp of engineering practices 🔧.
• If you have an experience with Go, that's a big advantage 💪.
• You have a taste for big data storage and processing using open source technologies
• You know how to behave in remote-first environment 
• You are able to learn and adapt. It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.

Our tech stack

• Python, GO
• Apache Kafka, Kubernetes, GitLab
• Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake Table
• Open formats IceBerg, Avro, Parquet
• DataProc, Spark, Flink, Presto
• Mongo, Redis
• … and much more 🙂

Compensations

• Salary ranges from 3500 EUR gross / month based on your seniority and it can get much higher later depending on your performance.
• There's a bonus based on company performance and your salary.
• You will be entitled to stock options 📈that will truly make you