Azure DevOps Engineer, ML Ops Engineer

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Drive AI-Driven Automation: Design, implement, and experiment with cutting-edge workflows that apply AI/LLMs to automate complex DevOps operations, reducing human intervention and operational friction. • Architect Scalable Cloud Infrastructure: Oversee and optimize robust infrastructure solutions within Azure, ensuring top-tier performance, security, and monitoring. • Define CI/CD & IaC Strategy: Champion best-in-class Infrastructure as Code (IaC) and continuous integration/deployment strategies to enable seamless, reliable software delivery. • Act as a Strategic Technical Advisor: Influence architectural decisions and system design without needing direct authority, fostering a strong culture of research and innovation. • Enhance System Reliability & Observability: Participate in deep architectural reviews, code reviews, and system design sessions to ensure high availability and cost-efficiency.

🎯 Requirements

• 7+ years of experience in DevOps, Cloud Engineering, or Infrastructure architecture. • Deep Azure Expertise: Proven mastery of Azure services, specifically Azure Kubernetes Service (AKS), cloud networking, compute, and native monitoring tools. • Advanced Infrastructure as Code (IaC): Deep hands-on experience using Terraform, Bicep, or ARM templates. • Robust Automation & Scripting: Strong programming proficiency in Python, Bash, or PowerShell to build custom automation tooling. • AI/LLM Integration: Genuine, practical experience applying Large Language Models (LLMs) or AI tools to optimize real-world DevOps workflows. • CI/CD Mastery: Solid background managing enterprise pipelines with GitHub Actions or Jenkins. • English fluency for daily communication.

🏖️ Benefits

• Flexible work arrangements • Professional development • Remote work options