Senior Cloud DevOps Engineer — Azure & AWS (Remote/Hybrid)

Jobgether; Switzerland; Hybrid; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Remote/Hybrid options

Competitive salary

Career development

Mentorship programs

Education reimbursement

Team events

Job summary

Jobgether is seeking a Senior DevOps Engineer based in Switzerland to design, deploy, and maintain scalable cloud infrastructure across Azure and AWS. You will automate provisioning with Terraform, manage Kubernetes clusters, and own CI/CD pipelines using GitHub Actions and ArgoCD.

You will implement blue/green and canary deployments, secure cloud environments, and collaborate with a distributed engineering team to drive reliability and performance of a data science platform.

Qualifications

• Extensive cloud infra experience in Azure and AWS.
• Hands-on with Terraform IaC for multi-cloud.
• Experience with GitOps and deployment automation.
• Strong containerization and Kubernetes management.
• Ability to work with distributed teams and on-call rotation.

Responsibilities

• Design, deploy, and manage scalable cloud infra on Azure and AWS.
• Develop IaC using Terraform for consistent provisioning.
• Maintain CI/CD pipelines with GitHub Actions.
• Implement blue/green and canary deployment strategies.
• Collaborate with distributed engineering teams.
• Handle on-call responsibilities to ensure reliability.

Skills

Azure

AWS

Terraform

Kubernetes

GitOps

GitHub Actions

Docker

Helm

ArgoCD

CI/CD

Python scripting

PowerShell

Bash

AKS

Tools

ArgoCD

GitHub Actions

Helm

Terraform

AKS

Job description

Jobgether is seeking a Senior DevOps Engineer based in Switzerland to design, deploy, and maintain scalable cloud infrastructure across Azure and AWS. You will automate provisioning with Terraform, manage Kubernetes clusters, and own CI/CD pipelines using GitHub Actions and ArgoCD.

You will implement blue/green and canary deployments, secure cloud environments, and collaborate with a distributed engineering team to drive reliability and performance of a data science platform.