Senior Azure Cloud Engineer

You are a Senior Azure Cloud Engineer passionate about designing, automating, and operating secure, scalable cloud platforms. You thrive in complex enterprise environments where Infrastructure as Code, Kubernetes, and cloud automation are essential to delivering reliable, high-performing solutions. You enjoy solving infrastructure challenges, improving platform reliability, and collaborating with cross‑functional teams to implement cloud best practices. You bring a proactive mindset, strong technical expertise, and a commitment to operational excellence through automation and continuous improvement. You Bring to Applaudo the Following Competencies: Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related field is desired, or equivalent professional experience. 8+ years of experience designing, implementing, and managing Microsoft Azure cloud infrastructure. Expert‑level experience with Terraform , including reusable modules, workspaces, remote state management, authentication, and Infrastructure as Code (IaC) best practices. Deep understanding of Microsoft Azure services , including VNets, Private Endpoints, Azure Load Balancers, Application Gateway, Managed Identities, Azure RBAC, Key Vault, and Storage Accounts. Experience implementing secure networking solutions, hybrid connectivity, and Azure governance. Strong experience with Docker, Kubernetes, GitHub Actions, and Azure DevOps. Proficiency in Linux administration and scripting using Bash, PowerShell, and Python. Experience implementing cloud security, identity management, monitoring, logging, and observability solutions. Strong troubleshooting, collaboration, and problem‑solving skills. Azure certifications (AZ‑104, AZ‑305) and/or HashiCorp Terraform Associate certification are highly desirable. You Will Be Accountable for the Following Responsibilities: Design, provision, and maintain secure, scalable Azure infrastructure using Terraform and Infrastructure as Code best practices. Build and optimize reusable Terraform modules and infrastructure automation pipelines. Deploy, administer, monitor, and troubleshoot Azure Kubernetes Service (AKS) clusters. Manage Azure networking, identity, security, and governance components. Develop and maintain CI/CD pipelines using GitHub Actions and Azure DevOps. Automate cloud operations using Bash, PowerShell, and Python. Monitor infrastructure performance, availability, and security through Azure observability tools. Troubleshoot complex infrastructure, networking, Kubernetes, and deployment issues while driving long‑term platform improvements. Collaborate with engineering teams to improve cloud reliability, scalability, security, and operational excellence. Participate in architecture discussions and provide technical leadership for Azure platform initiatives. Qualifications 8+ years of experience with Microsoft Azure cloud infrastructure. Expert experience with Terraform and Azure Kubernetes Service (AKS). Strong knowledge of Azure Networking, Security, Docker, and Kubernetes. Experience with GitHub Actions, Azure DevOps, and Infrastructure as Code. Advanced English proficiency. Additional Information About Us We Are Engineered Different. At Applaudo, talented people design, build, and scale meaningful, AI‑powered solutions that create real business impact. As an AI‑native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow. We are building a high‑performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication . These define how we work, how we support one another, and how we hold ourselves accountable. Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI‑native transformation at scale. #J-18808-Ljbffr