Hans Krijger is a Principal Software Engineer based in Redmond with over a decade of experience building cloud-first systems at Microsoft, where he’s driven work across Azure Compute, Application Insights storage, and Visual Studio tooling. He specializes in cloud infrastructure, middle-tier services, databases and mobile/web development, and has concrete open-source contributions to high-profile Azure projects like the WALinuxAgent and the Azure Quickstart Templates—improving Elasticsearch deployments and hardening the Linux guest agent. Known for tackling tough, system-level problems, he blends hands-on DevOps and backend engineering with performance and reliability focus. His background in mathematical statistics and early work on telemetry and automated test tooling give him a data-minded approach to system design and operational robustness.
10 years of coding experience
15 years of employment as a software developer
Bachelor of Science, Computer Science and Mathematical Statistics, Bachelor of Science, Computer Science and Mathematical Statistics at Rhodes University
Contributions:33 releases, 231 commits, 534 PRs in 2 years 3 months
Contributions summary:Hans primarily contributed to bug fixes and improvements within the Microsoft Azure Linux Guest Agent, addressing issues related to cloud-init and host key generation. Their work involved modifying Python scripts to enhance stability, ensuring correct handling of file existence checks and permissions. They also introduced unit tests and refactored code for multi-nic configurations, including integration with DHCP and routing, along with incorporating changes for the SCVMM environment and the agent's handling of the host plugin.
Contributions:92 commits, 27 PRs, 16 comments in 1 year 2 months
Contributions summary:Hans contributed to the development and maintenance of the Elasticsearch deployment templates. They focused on improving the robustness and efficiency of the Elasticsearch installation scripts for both Windows and Ubuntu environments. Their work included optimizing resource allocation, enhancing file share configurations, and integrating the Azure cloud plugin, indicating a focus on infrastructure automation and cloud integration. The user also implemented improvements to the JMeter installation process, contributing to the project's performance testing capabilities.
bicep-templatestemplatesbicepazurearm-templates
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