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This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. In the HPE Hybrid Cloud, Zerto drives the innovation agenda and technology roadmap for cutting-edge solutions in data lifecycle management, cyber resilience, replication, ransomware recovery, and seamless migrations. Our mission is to empower businesses with advanced hybrid cloud technologies that ensure data resilience, business continuity, and operational efficiency.
Job Responsibility:
Design, develop, and enhance I/O subsystems, virtualization, kernel programming, and memory management for cutting-edge system software products
Drive performance optimization, and efficient memory management
Perform in-depth debugging, triaging, and resolution of user and kernel-level, performance profiling, and memory-related issues
Develop innovative solutions, addressing challenges in virtualization, multithreading, and hardware-software interaction
Explore and implement new methodologies fostering continuous improvement and innovation
Proactively identify bottlenecks in system design, and recommend and implement robust, scalable solutions
Stay updated on evolving trends in kernel development, design, and virtualization technologies to bring innovative practices to the team
Troubleshoot and optimize complex I/O and kernel features to enhance performance, scalability, and reliability
Collaborate with cross-functional teams to align on design goals and ensure seamless integration with the system architecture
Exhibit flexibility in taking on new or related tasks, showcasing adaptability and a proactive, problem-solving mindset
Provide technical leadership in architecture design, problem-solving, and decision-making across complex technical domains
Lead technical discussions, design reviews, and decisions on critical system challenges, driving the adoption of innovative solutions and best practices
Requirements:
Bachelor’s degree in Computer Engineering, Electronics, or Electrical Engineering
Master’s or PhD in a relevant domain is highly desirable
10+ years of experience in product R&D within the computer/system software industry, focusing on kernel and driver development
In-depth working knowledge and Hands-on experience in I/O subsystems, programming, and kernel development
Expertise in C and C++ programming languages
Strong understanding of operating system internals and kernel & driver internals, including memory management, threading, and resource scheduling
Proven expertise in debugging, kernel triaging, and resolving memory and performance-related issues
Proficient in performance profiling, multithreading, and driver programming
Strong Knowledge in Linux and virtualization technologies such as VMware, Hyper-v and KVM
Ability to Design and implement scalable, efficient solutions for complex datapath and kernel challenges
Strong ability to innovate and bring fresh approaches to technical challenges
Excellent problem-solving skills with a proactive mindset and sharp analytical abilities
Exceptional communication skills to effectively present and discuss technical designs, proposals, and solutions with senior management and stakeholders
Demonstrated technical leadership with a focus on driving innovation