Middle Azure DevOps Engineer

Remote Full-time About The Role We're hiring a Middle Azure DevOps Engineer on behalf of our client, a fast-growing company focused on DevOps practices and cloud solutions, to join their team and contribute to data-intensive environments, analytics platforms, and cloud-native infrastructure. You'll help the client's team build and improve DevOps practices, automate cloud infrastructure, and support modern data platforms running on Azure. Whether your background is in DataOps, database administration, or infrastructure engineering for data workloads, you'll have the space to apply and expand your expertise alongside their experienced team working with modern cloud technologies. If you enjoy solving engineering challenges, automating complex processes, and helping teams deliver reliable, scalable solutions — we'd love to hear from you. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Azure DevOps, GitHub, and GitLab Automate cloud infrastructure provisioning and management using Terraform and Azure-native services Support, optimize, and maintain environments hosting data platforms, databases, analytics solutions, and business-critical applications Collaborate with development and data teams to streamline deployment processes and improve operational efficiency Implement Infrastructure as Code (IaC) and contribute to platform standardization initiatives Manage and support containerized workloads using Docker and Kubernetes Monitor system performance, reliability, and availability using observability and monitoring solutions Assist in troubleshooting infrastructure, deployment, and database-related issues Participate in architectural discussions and contribute to DevOps, DataOps, and cloud platform best practices Continuously identify opportunities for automation and operational improvements What We're Looking For Must Have 2+ years of commercial experience as a DevOps Engineer, Cloud Engineer, DataOps Engineer, or similar role Strong hands-on experience with Azure cloud services and Azure DevOps Practical experience with CI/CD pipelines, Docker, and Kubernetes Experience with Infrastructure as Code, preferably Terraform Exposure to data-oriented environments — databases, data platforms, ETL/ELT pipelines, analytics platforms, or DataOps practices Understanding of database administration concepts, performance optimization, backup strategies, and operational support Ability to work independently while collaborating effectively across cross-functional teams Clear communication and a proactive mindset English: Upper-Intermediate (B2) Ukrainian: Native Nice to Have Azure certifications (AZ-104, AZ-400, DP-203, or similar) Familiarity with SQL Server, PostgreSQL, Azure SQL, Synapse Analytics, Databricks, or similar technologies Experience supporting modern data platforms and data engineering teams Familiarity with observability tools such as Grafana, Prometheus, ELK Stack, Azure Monitor, or Application Insights Knowledge of database automation, DataOps practices, and data platform operations Understanding of cloud security and governance best practices Why You'll Love This Role Hands-on ownership of DevOps and cloud infrastructure for data-intensive, business-critical projects Room to grow across DevOps, DataOps, and cloud engineering disciplines Work alongside the client's experienced team on modern Azure cloud technologies A supportive environment that values collaboration, innovation, and accountability Hiring Process Intro call with Honeycomb Software (~15 min) — a short pre-screen to align on your experience and expectations HR interview with the client (40–45 min) — focused on soft skills and mutual fit Technical interview with the client's team (60–90 min) Team-fit call with the client's Team Lead/Co-founder (~45 min) — a conversation about working style and mutual fit If you believe you're a great fit for this role but may be missing some skills, don't hesitate to share your CV — what matters most is your intention and personality, as skills can be developed along the way.