Senior Software Engineer, MS Edge Growth

Partner with Product Management, Design, and Data Science teams to identify growth opportunities and transform insights into impactful product experiences. Build and operate scalable platforms and services that power experimentation, telemetry, customer feedback, analytics, and AI-driven scenarios. Leverage experimentation, user research, telemetry, and feedback signals to make data-driven product decisions and continuously improve user experiences. Drive end-to-end engineering projects from architecture and design through implementation, deployment, and live-site operations. Improve engineering productivity and product quality through automation, AI-assisted workflows, and intelligent operational tooling. Design and maintain large-scale telemetry and data pipelines that enable actionable insights and measurement across Edge experiences. Investigate and resolve complex production issues, driving improvements in reliability, performance, observability, and operational excellence. Lead technical discussions, influence architecture decisions, and contribute to long-term platform and product strategy. Collaborate across organizations to align technical solutions, share platform capabilities, and deliver cross-team initiatives. Mentor engineers and promote engineering excellence through code reviews, design reviews, and best engineering practices. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience OR equivalent experience. 4+ years of professional software engineering experience developing large-scale commercial software, services, or cloud-based applications. Experience designing, building, and operating distributed systems, cloud services, or large-scale applications. Solid software design, debugging, problem-solving, and analytical skills. Experience working collaboratively across engineering, product, and data science teams. Demonstrated ability to drive projects from concept to production with a focus on quality, reliability, and customer impact. Experience developing consumer-facing product features that drive growth, engagement, retention, or monetization. Experience with experimentation platforms, A/B testing, feature management systems, and data-driven product development. Experience building telemetry, analytics, data pipelines, or large-scale measurement systems. Experience applying AI or machine learning technologies to engineering productivity, product experiences, or operational workflows. Familiarity with customer feedback systems, recommendation systems, classification pipelines, or intelligent triage solutions. Knowledge of privacy, compliance, governance, and Responsible AI principles for large-scale consumer products. Experience with Azure services, cloud-native architectures, and modern DevOps practices. Proven ability to influence technical direction and lead complex cross-organizational initiatives. Passion for building products and platforms that help millions of users be more productive and engaged every day.