Developed Pytest collection framework that generated child pipelines to run resource-intensive simulation tests only on modified components, significantly reducing overall runner load while maintaining coverage.
Created automation tools to retrieve and analyze artifacts from specific jobs, enabling streamlined debugging of complex system interactions without manually finding the job or reproducing it.
Implemented automated Docker development container builds and deployments, ensuring consistent development environments across teams and making sure that anyone could make edits while only needing the correct code owner approval.
Created robustness testing, a job that took in a test name and number of jobs and would then create that number of jobs running that test to help ensure that bugs were squashed in our non-deterministic testing environment.
Reporting & Monitoring Integration
Leveraged GitLab Pages to publish automated system status reports, providing stakeholders with real-time visibility into software health and performance metrics without needing to dig into gitlab artifacts
Integrated test results with Grafana and Datadog to establish long-term performance trending, enabling data-driven decision making and early identification of regression patterns
Developer Experience & Quality Assurance
Championed fast feedback loops through extensive automation, significantly reducing time between code changes and validation results. Simulations could take on the scale of an hour so finding issues with faster jobs sooner was key to enabling developer iteration.
Built custom linting tools for proprietary file formats and specialized integrations that lacked traditional tooling support, preventing integration issues before deployment
Implemented diverse pipeline configurations including:
Scheduled pipelines for routine testing and maintenance
Uninterruptible pipelines for critical processes
Hardware-specific runners for specialized testing
Conditional job execution for draft merge requests
Mirrored repository setups for dependent pipelines
Throughout these implementations, I consistently translated complex system requirements into efficient CI/CD solutions that improved reliability, reduced manual effort, and accelerated development cycles - skills directly applicable to telecom infrastructure where system stability and rapid deployment are equally critical.