Azure DevOps Engineer
Madiff
This is a senior-level role, but if you've built cloud infrastructure projects or contributed to deployment automation, it's worth understanding what the next step looks like. Madiff is hiring for a fully remote position supporting infrastructure for GenAI applications — real infrastructure work that directly enables AI teams to ship faster.
You'll design and maintain scalable Azure environments, own CI/CD pipelines from end to end, and automate provisioning with Terraform and Ansible. You'll work with containerization (Docker, Kubernetes), integrate cloud services like Databricks and Azure Cognitive Services, and build disaster recovery and high-availability systems. This isn't ticket-closing work — it's building the foundation that other engineers depend on.
This role fits engineers with hands-on cloud experience, ideally some production exposure to infrastructure-as-code, CI/CD systems, or container orchestration. A portfolio showing past projects in Azure, AWS, or GCP is helpful. You'll be working across global teams with data scientists and developers.
If you have the background and want to move into this kind of infrastructure ownership, apply through CareerJumpShip. Make sure your resume and any relevant GitHub links highlight deployment and automation work.
About this role
This is a remote position. We are looking for an experiencedAzure DevOps Engineerto support high-performance infrastructure for GenAI applications. The role focuses on cloud automation, CI/CD ownership, container orchestration, and infrastructure-as-code to enable scalable, secure AI-driven solutions in modern Azure environments. This is a fully remote role with cross-functional collaboration across global teams. Responsibilities Design, implement, and maintain scalable infrastructure for genai applications Develop and manage ci/cd pipelines for infrastructure and business code deployments Automate provisioning, configuration, and deployments using terraform and ansible Monitor and enhance system performance, scalability, and security Enforce compliance with it security policies and cloud governance frameworks Integrate with various cloud services such as databricks, azure cognitive services, and sql server Collaborate with data scientists, engineers, and development teams to streamline model deployment Implement disaster recovery strategies, backup solutions, and high-availability architectures Manage containerized applications with docker and kubernetes (aks, eks, gke, ecs) Configure monitoring tools such as datadog, azure insights, and elastic stack to track system health Requirements At least five years of experience with azure (PREFFERED), aws, or gcp cloud platforms Experience with kubernetes, container orchestration, and docker Strong background in infrastructure as code (terraform, cloudformation, ansible, chef, puppet) Hands-on expertise in ci/cd automation using azure devops, github actions, or jenkins Familiarity with git-based repositories such as azure repos, bitbucket, and github Experience with scripting languages such as python, bash, or powershell Strong debugging skills using log management and monitoring tools Knowledge of security frameworks such as sox, soc2, and cloud compliance best practices Nice to have Experience working in high-availability architectures using blue-green, canary, and rolling deployments Familiarity with server virtualization, networking, and cloud-native storage solutions Background as a developer or software engineer Experience with regulatory frameworks and enterprise security standards Benefits Solid, competitive salary Work in multinational environment on international projects Comprehensive healthcare Long-term B2B contract with stable project pipeline Fully remote model Originally posted on Himalayas
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