Remote DevOps Engineer – Cloud & CI/CD (Germany)

Insight 42; United States; Remote; USD 73,000 - 101,000; Full time

Benefits offered by this job

Competitive salary

Performance incentives

Remote in Germany

Job summary

Insight42 is seeking a DevOps Engineer (m/f/d) for 100% remote work in Germany. You will design, automate and maintain deployment pipelines and cloud infrastructure to keep production workloads reliable, scalable and fast.

You will collaborate with software engineering and data teams, manage IaC with Terraform and CloudFormation, and work with Docker and Kubernetes to ensure smooth releases, security, and observability across our data platforms and AI products.

Qualifications

• 3+ years of experience as a DevOps or Cloud Engineer.
• Expertise in at least one major cloud provider (Azure, GCP, or AWS).
• Proficiency in CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or ArgoCD).
• Hands-on with scripting languages (Python, Bash, PowerShell).
• Understanding of networking, load balancing, and security best practices.
• Fluent English; German is a plus.

Responsibilities

• Design, automate and maintain deployment pipelines and cloud infrastructure.
• Monitor system performance and build observability to catch issues early.
• Collaborate with software engineering and data teams to ensure smooth releases.
• Maintain security compliance, secrets management, and backup strategies.
• Design and manage CI/CD pipelines using cloud-native tools.

Skills

DevOps experience

Cloud experience

CI/CD tooling

Scripting languages

Networking & security basics

English communication

Tools

Terraform

ARM

CloudFormation

Docker

Kubernetes

Azure Container Apps

GKE

EKS

Job description

Insight42 is seeking a DevOps Engineer (m/f/d) for 100% remote work in Germany. You will design, automate and maintain deployment pipelines and cloud infrastructure to keep production workloads reliable, scalable and fast.

You will collaborate with software engineering and data teams, manage IaC with Terraform and CloudFormation, and work with Docker and Kubernetes to ensure smooth releases, security, and observability across our data platforms and AI products.