DevOps Platform Engineer

Job Description This is a remote position. We are looking for a delivery-focused DevOps / Platform Engineer to support day-to-day operations of an internal cloud platform. This role is hands-on and execution-oriented, focused on stabilising and scaling cloud operations rather than architecture or greenfield design. The goal is to absorb operational workload from core engineers and ensure reliable, predictable platform operations in production environments. Responsibilities Provide hands-on operational support for Azure cloud environments Manage subscriptions, resource groups, networking, storage, Key Vaults, virtual machines, private endpoints, and security configurations Support Databricks platform operations including users, groups, service principals, clusters, jobs, notebooks, serverless components, models, and Unity Catalog Execute routine operational tasks to maintain platform stability and reliability Support secure connectivity and basic cloud networking patterns Apply Infrastructure as Code using Terraform or equivalent tools Work closely with the internal platform team, following established standards, tooling, and governance Contribute to long-term platform maturity through consistent, reliable execution Requirements Strong hands-on experience operating Microsoft Azure environments Practical experience supporting Databricks platforms in production Solid understanding of cloud security fundamentals and networking basics Experience applying Infrastructure as Code principles Strong delivery mindset and comfort executing predefined operational tasks Ability to work collaboratively within an established platform team Confident English for daily cooperation with international stakeholders Nice to have Experience working in regulated or insurance environments Exposure to MLOps or AI platforms Python scripting or automation experience Benefits Solid, competitive salary Work in multinational environment on international projects Comprehensive healthcare Long-term B2B contract with stable project pipeline Fully remote model