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6.0 - 11.0 years

6 - 16 Lacs

Pune

Hybrid

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Job Title: Sr. Systems Software Engineer (Kernel, Filesystems, and Networking) Duration: Full time role Location: Hybrid (Pune/Bengaluru/Hyderabad/Mumbai/Chennai) Job Description: We are seeking a highly skilled and experienced Senior Systems Software Engineer with a strong background in Linux kernel development, file systems, and networking technologies relevant to modern data centers. The ideal candidate will have a deep understanding of low-level systems programming, networking protocols (with a focus on RDMA and CNI), and hands-on experience in designing, developing, and maintaining high-performance, scalable system components. Key Responsibilities: Design, develop, and maintain Linux kernel modules, with emphasis on performance, scalability, and security. Contribute to the development and enhancement of file systems, ensuring reliability, high throughput, and low latency. Build and optimize networking solutions for data center environments, including RDMA, DPDK, and container networking (CNI plugins). Collaborate with cross-functional teams including DevOps, SRE, and platform engineering to ensure seamless integration with infrastructure. Participate in code reviews, architecture discussions, and performance tuning sessions. Monitor and improve system performance, addressing bottlenecks and implementing robust diagnostics. Contribute to open-source communities and stay up to date with emerging kernel and networking trends. Required Skills and Qualifications: 6 to 8 years of hands-on experience in systems-level programming, preferably in C/C++ and scripting languages like Python or Bash. Proven expertise in Linux kernel development (process management, memory management, device drivers, etc.). In-depth knowledge of file system architecture, implementation, and debugging (e.g., ext4, XFS, Btrfs, etc.). Strong understanding of datacenter networking concepts: TCP/IP stack, RDMA, DPDK, SR-IOV, VLANs, VxLAN, etc., Experience with Container Networking Interface (CNI) and technologies like Kubernetes, Docker, or CRI-O. Familiarity with performance profiling tools (e.g., perf, ftrace, eBPF). Experience working in distributed systems and cloud-native infrastructure is a plus. Preferred Qualifications: Contributions to open-source kernel/file system/networking projects. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure as code tools (e.g., Terraform, Ansible).

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