Develop internal tools and platforms that modernize engineering workflows for Power BI Desktop and Service. Implement scalable, secure, and reliable systems that support productivity, automation, and compliance across engineering teams. Integrate GenAI, telemetry, and ML-based intelligence into tools to enhance coverage, detection, and engineering insights. Modernize legacy systems by migrating them to cloud-native, maintainable architectures. Build telemetry‑driven insights to improve observability, diagnostics, and product quality. Develop automation solutions that support rapid validation cycles for weekly Power BI releases. Partner with PM, QA, Release Engineering, and Partner Teams (Desktop, Service, Infra, ADO/GitHub) to align tooling needs and engineering OKRs. Influence engineering strategy through data-driven insights, metrics, and tooling analytics. Drive continuous improvement through measurable success indicators and iterative tool enhancements. Bachelor's degree in Computer Science or related field AND 4+ years of fullstack experience building software tools, internal platforms, automation systems, or developer productivity solutions. Strong coding expertise in C#, TypeScript, Java, Python, or JavaScript. Master's degree in Computer Science or related field AND 3+ years engineering experience. Experience building distributed systems, APIs, dashboards, or engineering tools. working with test frameworks OR engineering systems (e.g., CI/CD, ADO/GitHub, pipelines). Proven ability to collaborate across global teams and communicate technical concepts clearly Experience building tools or automation for Power BI or other BI/analytics platforms. Familiarity with PowerShell, Azure DevOps (ADO), GitHub Actions, Kusto (KQL), Azure Services. Experience integrating GenAI into developer workflows (prompting, embeddings, agents, retrieval). Passion for improving engineering efficiency through data, telemetry, and intelligent automation.
