Principal SW Engineer - Data Acquisition - India - Hybrid
Description
- Design and implement data path and control path logic to support scalable deep observability solutions.
- Build and optimize the solutions for VMs and containers (Docker, Kubernetes) platforms.
- Develop secure, scalable software using C, C++, and Python, adhering to secure coding standards.
- Architect modular, extensible systems with a strong emphasis on scale and maintainability.
- Collaborate with cross-functional teams to deliver end to end solutions to customers.
- Mentor junior engineers and contribute to technical strategy and roadmap planning.
- Expert-level proficiency in C ,C++ and python for systems programming.
- Deep understanding of Data path , networking subsystems Netfilters, eBPF, TC, network drivers.
- Strong grasp of virtualization technologies (KVM, VMware, Hyper-V) and containers.
- Good understanding networking concepts and exposer to basic network debug tools.
- Familiarity with orchestration frameworks like Kubernetes, with ability to deploy and manage observability agents.
- Proven application of secure coding practices.
- BSEE/CS with minimum 15+ years of experience.
- High-level understanding of system design, modular architecture, and performance optimization.
- Excellent collaboration and communication skills, with experience leading cross-functional initiatives.
As an equal opportunity employer, all applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, age, sexual orientation, disability, veteran status, genetic information, or any other protected characteristic under applicable federal, state, and/or local law. For more information, please refer to Know Your Rights: Workplace Discrimination is Illegal.
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