Senior Software Engineer(SWIQ Performance Team)

Full Job Description

Design and build services, and automation that improve the efficiency of large-scale telemetry and data-processing systems across Azure Storage, Cosmos, and Blueshift. Identify opportunities to reduce infrastructure costs through storage optimization, data lifecycle management, resource utilization improvements, and capacity optimization. Build intelligent recommendation and analytics solutions that help engineering teams discover, prioritize, and implement efficiency improvements. Leverage AI and automation to simplify operational workflows, reduce manual investigations, and accelerate optimization efforts. Provide technical leadership through architecture reviews, design discussions, mentorship, and engineering best practices. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 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 with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience delivering production software that improves reliability, scalability, performance, or operational efficiency. Proven ability to lead complex technical projects and drive results across multiple teams and stakeholders. Solid foundation in software engineering, distributed systems, data processing, cloud infrastructure, and performance optimization. Experience using automation, analytics, AI-powered tools, or data-driven approaches to solve operational or engineering challenges. Experience with Azure Storage, storage lifecycle management, or related storage optimization technologies. Experience with Cosmos, Blueshift, Kusto (KQL), Spark, or large-scale telemetry and analytics platforms. Experience building recommendation systems, AI-powered automation, agent-based workflows, or operational intelligence solutions.

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