Senior DevOps Engineer at Michael Page

berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 26

Salary

90000.0

Posted On

21 Sep, 26

Experience

13 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Automation of deployments and scaling
Manage CI/CD pipelines
Advanced in the AWS environment
In-depth knowledge of Kubernetes
Identification and resolution of performance bottlenecks
Close collaboration with development teams for requirements analysis and solution implementation
Implementation of security best practices and data governance policies.

This text has been machine translated. Show original

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

As a Site Reliability Engineer in our SRE Data Squad, you'll help keep trivago's data backbone running - 8 production Kafka clusters moving over 900K messages per second, plus our managed Flink, Cassandra, and Redis services.
You will apply a software engineering mindset to operations, building the bridge between the two and turning reliability into a craft.
You will develop into a trusted voice on some of trivago's most demanding data systems, deepening your infrastructure expertise with real ownership, a clear path toward senior SRE work, and the stability to build a lasting career here.
Join our on-call rotation for trivago's Kafka, Flink, Cassandra, and Redis services - a «X»-person rotation with «on-call compensation / time-off arrangement», so incident duty is shared and recovery time is protected.
Run and operate our infrastructure across Google Cloud Platform (GKE and Compute Engine) and our on-premises datacenter (Rancher).
Build monitoring and observability for the applications and data services the team supports.
Dokumentieren Sie die durchgeführten Maßnahmen und automatisieren Sie wiederkehrende Aufgaben – auch mit KI-gestützter Software, wo dies wirklich sinnvoll ist.
Contribute to runbooks, technical documentation, and our engineering blog.
Debug issues across services and levels of the stack, and contribute to the team's issues and OKRs.

This text has been machine translated. Show original

Strong analytical and troubleshooting skills in distributed, data-intensive systems - you move from first symptom to root cause across multiple services, and you're comfortable setting your own priorities, including under incident pressure.
A genuine learning mindset - you approach challenges with curiosity, seek out feedback, and continuously look for ways to develop and grow.
A performance mindset - you set ambitious goals for yourself and have the determination and resilience to follow through and achieve them.
An open and curious mindset toward AI tools and automation - you actively explore how AI can support incident triage, runbook automation, and daily operations, and you're excited to grow alongside evolving technologies.

Hands-on experience operating Kubernetes in production, together with practical Kafka experience - the two technologies this squad works with every day.
Experience running infrastructure in both cloud and on-premises environments, ideally Google Cloud Platform (GKE and Compute Engine) and Rancher; experience with Flink, Cassandra, Redis, or MySQL is a welcome bonus.

Automation of deployments and scaling
Manage CI/CD pipelines
Advanced in the AWS environment
In-depth knowledge of Kubernetes
Identification and resolution of performance bottlenecks
Close collaboration with development teams for requirements analysis and solution implementation
Implementation of security best practices and data governance policies.

This text has been machine translated. Show original