DevOps Engineer

As a DevOps Engineer at MRI Software , you’ll be the primary Azure DevOps specialist within a multidisciplinary innovation team exploring the intersection of AI, automation , and infrastructure engineering. You’ll work closely with software engineers, data scientists, and AI researchers in Agora AI Labs while collaborating with the wider DevOps and Cloud Engineering community across the organization. You’ll design, automate, and operate the infrastructure that powers our internal AI initiatives – bringing modern DevOps and Infrastructure-as-Code (IaC) practices into everything we build. You’ll thrive in an environment that values innovation, experimentation, and reliability, where AI-assisted DevOps tools are used to push automation further and faster. Cloud Lead the setup, automation, and management of Azure-based infrastructure for Agora AI Labs projects. Collaborate with central DevOps and Cloud Engineering teams on architecture, security standards, and governance alignment. Configure and maintain core Azure services (compute, networking, storage, identity) while exploring emerging Azure features relevant to AI workloads. Document cloud architectures, connectivity, and deployment patterns for ongoing and future Labs projects. Automation Design and implement end-to-end automation – from infrastructure provisioning to CI/CD deployments. Use Terraform (and AI-assisted tooling such as the Model Context Protocol) and Ansible to provision and manage Azure environments. Implement automation that reduces manual effort, accelerates delivery, and increases system reliability. Act as the DevOps point of contact for Agora AI Labs, collaborating directly with engineers and researchers to translate project needs into scalable infrastructure solutions. Partner with central DevOps, Cloud, and Security teams to align Labs infrastructure with organizational standards. Help design and maintain the Labs infrastructure, ensuring scalability, observability, and cost efficiency. Participate in release planning and deployments in coordination with development and release management teams. Continuously analyze existing tools, workflows, and processes — recommending improvements and introducing AI-enhanced DevOps practices. Conduct proofs of concept (POCs) to evaluate new technologies, especially those that integrate AI with DevOps workflows. Stay current with cloud and automation trends, sharing insights with both the Labs team and the wider DevOps community. Diagnose, resolve, and prevent recurring issues through automation and proactive detection. Develop dashboards and insights into infrastructure performance, reliability, and cost usage. 3+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role. ~ Deep knowledge of Azure Cloud services and PaaS components. ~ Strong experience with Kubernetes, Docker, and modern deployment practices. ~ Proven ability to design and maintain CI/CD pipelines using GitHub Actions and/or Azure DevOps Pipelines. ~ Proficiency with Linux/Unix systems, including scripting (Bash, PowerShell). ~ Experience implementing monitoring, logging, and alerting (Azure Monitor, Application Insights, etc.). ~ Understanding of DevSecOps and cloud governance. ~ Exposure to AI DevOps tooling (e.g. GitHub Copilot, Terraform MCP, Azure AI integrations). ~ Azure Administrator or DevOps certification (AZ-104, AZ-400). Tech Stack Cloud: Kubernetes (Istio), Docker Deployments: Helm Charts Monitoring: CI/CD: GitHub Actions, Jenkins, Azure DevOps Pipeline Configuration Management: Ansible IaC: Terraform, ARM Templates (AI-assisted where applicable) Languages / Frameworks: .NET, .NET Core Database: MS SQL RabbitMQ, Azure Service Bus, Azure Blob Storage Bachelor’s/master’s degree in software engineering, Computer Science, or a related area Hybrid working arrangements (2/3 days in the office) ~ Annual performance-related bonus ~Engaging, fun & inclusive culture: check out the MRI Software APAC Insta feed and stories MRI Software delivers innovative applications and hosted solutions that free real estate companies to elevate their business. Our flexible technology platform, along with an open and connected ecosystem, allows us to meet the unique needs of real estate businesses, from property-level management and accounting to investment modeling and analytics for the global commercial and residential markets. MRI is proud to be an Equal Employment Opportunity employer.