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Senior DevOps Engineer (Hybrid Setup)

Summary

Senior DevOps Engineer builds and maintains Azure-based CI/CD pipelines, automates cloud infrastructure, and ensures system reliability for global projects using .NET, Azure DevOps, and Datadog.

We are looking for a Senior DevOps Engineer to support global projects by strengthening our technology stack, improving engineering practices, and contributing to codebase development. This role involves building reliable deployment pipelines, enhancing system performance, and working closely with cross-functional teams to deliver scalable solutions. Key Responsibilities Participate in design, planning, and development activities within a Scrum environment, contributing to the delivery of high-quality products and services. Own, maintain, and continuously improve CI/CD pipelines. Implement automated security checks and assessments to identify and manage cybersecurity risks. Develop and maintain automated deployment processes across environments. Set up, configure, and optimize virtual machines, databases, and supporting infrastructure for development and deployment. Support a variety of projects, from large-scale enterprise applications to internal tools and process improvements. Collaborate closely with Developers, Scrum Masters, Project Managers, Product Owners, and Architects to ensure smooth delivery and system reliability. Monitor system performance and reliability, and recommend improvements where needed. Requirements Bachelor’s degree in Computer Science, Information Technology, or a related field. At least 3 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles. Strong experience with Microsoft Azure, including: Azure App Services and Azure Functions Azure Virtual Network (VNet), Private Endpoints, and Application Gateway Azure Entra ID and Identity and Access Management (IAM) Azure storage solutions such as Data Lake Gen 2, Azure SQL, and Cosmos DB Hands-on experience with Azure DevOps, including CI/CD pipeline management. Experience monitoring and optimizing performance using tools such as Application Insights, Log Analytics Workspace, or similar tools. Experience with Datadog or other observability tools is an advantage. Strong scripting skills using PowerShell or Bash. Good understanding of infrastructure and architecture for web-based applications. Preferably with experience working in Linux-based environments. Strong communication skills in English, both written and verbal. Technical Environment .NET backend monolith application MS SQL Microsoft Azure cloud platform Integrations with external APIs, middleware, ERP systems, and Data Lake platforms Hangfire for background job processing Scrum methodologies Azure DevOps for repository and release management Datadog for observability

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