Architect, design, and implement internal tools and platforms that modernize engineering workflows for Power BI Desktop and Service. Mentor engineers and foster a culture of craftsmanship, learning, and technical excellence.
Responsibilities
Build scalable, secure, and reliable systems that support productivity, automation, and compliance across engineering teams. Lead tool-driven automation that improves validation, release readiness, diagnostic workflows, and engineering observability. 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. 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.
Required Qualifications
Bachelor's degree in Computer Science or related field AND 8+ years of Fullstack experience with AI, building software tools, internal platforms, automation systems, or developer productivity solutions. Hands on experience with AI / Agentic AI / LLM / MCP servers. Strong coding expertise in C#, TypeScript, Java, Python, or JavaScript. Master's degree in Computer Science or related field AND 6+ years engineering experience. Experience building distributed systems, APIs, dashboards, or engineering tools. experience working with 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
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page