Employer Active
The Team
By being part of the platform team, you will design and maintain the foundation for our data/ml products. Our client platform engineers ensure the data/ml product discovery & delivery process is as streamlined as possible. The key objective is to identify and reduce friction along the lifecycle and ensure an outstanding developer experience. Aiming to bridge the gap between product, engineering, data and ML.
Designing a data foundation based on mesh principles that support petabyte scale data processing.
You and your skills
We are looking for talented engineers who want to build the platform they wish they had. The kind of engineer who is:
Focused on developer experience (DX)
Strives for operational excellence
Performance oriented, the amount of data will not let us do otherwise
Driven to learn by teaching others
Experienced enough to know when to add features but mainly, when to remove them. When to push and when to pull.
Ultimately, we are looking for curious people who collectively love to decompose complex problems into manageable ones. Aiming to build a sustainable future with sustainable software which means a deep focus on system design and managing complexity. Following the DevOps principle You build it, you own it . We are responsible for the smooth operation of the services we develop. This way you will stay close to the developers/users and have a deep understanding of their pain-points and how to relieve them.
Given that our client works horizontally across the company, multi-dimensional communication skills is something valued deeply. Also following the principle We build together in order to do so effectively, communication is key.
Data is integral to everything our client does. Therefore, we expect a certain level of data acumen and any experience working with the complexities surrounding data is considered useful.
In addition to data acumen, you don t need to strictly have all the following skills but the more
the better:
Software Engineering
System Design
Proficiency in a language such as golang, python, scala, rust, typescript etc.
CI/CD tool chain, IaC & GitOps
DevOps
Cloud Computing
Kubernetes & the surrounding cloud native ecosystem
Cluster computing frameworks such spark, ray, dask
Distributed training
ACID transactions
Table such as Iceberg, delta-lake, and Hudi
Binary formats such as avro, orc, parquet and protobuf
Storage systems (databases, object-stores, lustre, etc.)
Stream processing frameworks & event-driven architecture such as beam, flink, kafka, pulsar, kinesis, storm and knative eventing.
Security
Networking
Offering a flexible working environment and we trust that you are more than capable of deciding form where you are the most effective and comfortable (within the boundaries of Sweden). Our client has offices in Gothenburg, Stockholm, and Lund and some travel is occasionally required.
Full Time