Backend Engineer/Senior Infrastructure Engineer

Assignment Description

The client in audio streaming is looking for a Senior Backend Engineer/Senior Infrastructure Engineer to join their team in Stockholm/remote.

You will be a part of the client’s the team in the client’s Platform mission that enables their client engineers to effectively utilize cloud infrastructure by providing a platform for infrastructure composition. Their declarative infrastructure is built on top of Kubernetes and they work closely with Google to make sure their platform scales with the growing number of managed resources at their client.

What you’ll do:

As a team, they build a platform that enables infrastructure as code at their client, with the entire engineering organization as their users.
The tech stack you’ll work on includes Kubernetes operators (typically in Golang); supporting backend services (in Java); utilities and scripts (in Python and Bash); analytics data pipelines (in Python and SQL); and a lot of declaratively managed infrastructure of their own (in YAML).
Perform cluster upgrades, maintenance, and general support of the client’s Kubernetes clusters.
Collaborate closely with their sister platform squads and become a valued member of an autonomous, cross-functional team.

Who you are:

• A valued team player in an autonomous, cross-functional team that inspires others experienced in designing, analyzing, optimizing code, and troubleshooting large-scale distributed systems.
• Experienced with Kubernetes, GKE, and Google Cloud Platform.
• Knowledgeable in how to write distributed, high-performance services and experienced in deploying and operating services on Linux.
• Experienced with operations of Kubernetes clusters, GKE specifically is preferred.
• Passionate about infrastructure as code
• Can use scripting languages where needed to glue pieces together
• Have experience with Java and/or Go
• Equipped with a systematic problem-solving approach coupled with effective communication skills and drive.
• Excited about working on a team where you constantly learn, experiment, and iterate quickly.