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unstructured data management · file data platform

Senior Software Engineer - C++ Linux (Telangana)

HyderabadPosted 1 month ago
Software engineeringSeniorFull Time; Regular
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Senior Software Engineer, C++ Linux for Datapath Team Location: Nasuni Hyderabad IIC Hybrid, 3 days in office Nasuni is looking for a Senior Software Engineer, C++ Linux to help build and improve the performance-critical software behind our cloud-native file data platform. This role is for a hands-on C++/Linux engineer who enjoys solving deep systems problems involving concurrency, latency, throughput, reliability, debugging, and scale. You will work on core data-path capabilities that affect how enterprise customers access, move, and protect file data across distributed environments. You will contribute to design, implement production-quality software, investigate complex issues, and partner with QA, Performance Engineering, Support, and other engineering teams to improve platform behavior. This role is a solid fit for someone who wants meaningful technical ownership while continuing to code, debug, test, and optimize complex systems. It is not a fit for someone looking primarily for people management, high-level architecture without implementation, or general application development without systems depth. Level and Scope You will independently own features, defects, and improvements within data-path components. You will make component-level design decisions, identify tradeoffs, and deliver reliable code under the guidance of established technical direction. You will collaborate across engineering teams, contribute to design reviews, and mentor less experienced engineers through code reviews and technical problem-solving. Responsibilities - Design, implement, test, and maintain C++/Linux software for performance-sensitive data-path components. - Improve throughput, latency, concurrency, reliability, and resource usage in core platform workflows. - Debug complex issues involving memory, threading, I/O behavior, protocol interactions, or system performance. - Use profiling, tracing, logs, core dumps, and other diagnostic tools to identify root causes and validate fixes. - Partner with QA and Performance Engineering to reproduce issues, strengthen test coverage, and confirm release readiness. - Collaborate with Support and senior engineers on customer-impacting escalations and durable product fixes. - Participate in design reviews, code reviews, and technical planning for data-path features. - Use AI-assisted engineering tools where appropriate for code exploration, test ideas, debugging hypotheses, documentation, and analysis, while independently validating correctness, security, and maintainability. Expected Outcomes In the first year, you will deliver high-quality improvements to data-path functionality, contribute measurable performance or reliability gains, reduce repeat defects through durable fixes, and build trusted technical depth within the Hyderabad IIC engineering team. Qualifications Must-have - Bachelor s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience. - 6+ years of professional software engineering experience. - 3+ years working on storage systems, databases, distributed systems, networking software, or performance-critical infrastructure. - Strong C++ and/or C programming experience on Linux. - Experience with multi-threaded programming, concurrency, memory management, and systems debugging. - Hands-on experience using debugging, profiling, tracing, or diagnostic tools to resolve complex issues. - Solid understanding of networking fundamentals and application-level protocols. - Clear written and verbal communication skills. Preferred - Experience with file systems, NAS, object storage, caching, replication, snapshots, metadata services, or distributed storage. - Python or Go experience for tooling, automation, test frameworks, or service integration. - Experience supporting production or customer-impacting technical investigations. - Familiarity with cloud infrastructure, SaaS product engineering, CI/CD, and secure development practices. - Practical use of AI-assisted development tools with disciplined validation. Ideal - Shipped measurable improvements in throughput, latency, reliability, or resource efficiency. - Owned a production data-path, storage, database, or distributed systems component across multiple releases. - Known for strong debugging discipline, thoughtful tradeoffs, and high-quality code reviews. Experience Guidelines Most aligned candidates will have 6 10+ years of total software engineering experience, including 3 6+ years in systems, storage, distributed infrastructure, database internals, or similarly performance-critical software. Candidates with more experience may still be a fit if they remain hands-on and are motivated by Senior-level component ownership. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the

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