Senior Software Engineer Search Platform India Telangana Hyderabad

Job description

As a Senior Software Engineer within the Windows Search Platform Engineering team, you will be responsible for: Designing and implementing core components of the Windows Search Platform. Driving technical deep-dives and authoring design specifications for complex features, establishing yourself as a technical authority on the search platform stack. Owning end-to-end delivery of features from design through coding, testing, self-host validation, and retail rollout — with a solid focus on quality, reliability, and performance. Collaborating cross-functionally with Products and Data teams to drive technical alignment and resolve architectural trade-offs. Building and maintaining observability infrastructure. Driving Reliability and Quality through bug triage leadership, root-cause analysis, and proactive quality engineering. Contributing to release. Mentoring engineers through code reviews, design discussions, and technical guidance — raising the overall engineering bar across the team. Championing AI-assisted engineering practices — leveraging agentic workflows, automation, and AI tooling to accelerate development and improve code quality. Proactively identifying technical debt, performance bottlenecks, and reliability risks — proposing and executing improvements with minimal oversight. Representing technical decisions and progress in engineering forums, sprint reviews, and cross-team syncs with clarity and confidence. 8+ years technical engineering experience. Solid proficiency in C/C++ with experience in systems-level or platform software development. Experience with multi-threaded programming, memory management, and performance optimization in native code. Demonstrated ability to own and deliver complex features end-to-end with minimal guidance. Deep understanding of Windows internals, NT kernel, file systems (NTFS/ReFS), or OS-level services and infrastructure. Experience with search/indexing systems, database internals, query processing, or information retrieval at scale. Track record of authoring design specifications and driving technical consensus across multiple stakeholders. Experience with telemetry frameworks, observability pipelines, and data-driven quality engineering. Familiarity with AI/ML integration patterns — embedding-based retrieval, LLM consumption APIs, or AI-native platform design. Solid debugging and root-cause analysis skills across user-mode and kernel-mode components. Methodical analytical skills with a systematic approach to software design, testing, and performance analysis. Confident communicator who can articulate technical decisions and trade-offs to both engineering peers and leadership. Self-motivated with a solid sense of ownership, accountability, and a bias toward action and speed.