Job
Description
The Cisco Distributed System Engineering (DSE) group is at the forefront of developing products that power the largest networks in the world The networking industry is going through a massive transformation to build the next generation infrastructure to meet the needs of AI/ML workloads and continuously increasing internet users and application We are uniquely positioned to capture that market transition This team builds products by harnessing the potential of open-source technologies while pushing the boundaries on Systems and Silicon Architecture We are looking for developers and leaders who are passionate about tackling complex technology, building large scale distributed systems and comfortable working with open-source communities and technologies You will be part of a fast-paced work environment and responsible for end-to-end product development and production support Who You Are The successful candidate will bring experience in designing, developing, testing software systems with a mindset of contributing to open-source projects or willingness to do so and also have deep expertise in algorithms and data structures You will be working with gRPC, protobuf, open config, and model-based network manageability protocols (e.g, GNMI, GNOI, GNSI) Someone in this role will have interest in designing, automation of testing and be passionate about developing tools and frameworks to enable automation at a large scale for tier 1 web customers You will bring experience with Linux containerization technologies, traffic generation tools/techniques, networking technologies, automated testing frameworks, and continuous integration practices Have flexibility and comfort working in a very fast paced, agile environment on the latest technologies Strive to explore industry trends and best- practices, and academic research to apply new insights Enjoy solving complex customer issues that require a deep understanding of network protocols and systems-level concepts, Customer experience: highly skilled in Reproduction and debugging of customer issues Ability to work and lead a cross-functional and geographically diverse team Tackle problems creatively and multi-task in a fast-paced and constantly evolving environment What You'll Do We seek excellence in delivering outstanding software to customers, achieved through strong automation skills and knowledge on deployment and solution offerings. You will design, develop, and implement efficient algorithms to solve complex problems in real-time systems. Explore, Enhance and Contribute to open source framework in Golang and Python that are used by top tier Web Customers. Contribute to the areas of gRPC, protobuf, Open Config Models and Model Driven Network Manageability esp. gNMI, gNOI and gNSI. You will be part of a team that values open communication, empowerment, innovation, and career development. Minimum Qualifications: Bachelors degree with 4+ or a Masters degrees with 2+ years of experience in computer science engineering or equivalent Experience analyzing and improving the performance of existing systems by applying data structures and algorithms. Experience in addressing issues related to computational complexity, optimizing time and enhancing performance. Experience implementing solutions with a focus on modularity, reusability, and clarity. Experience in developing Test Automation for Network devices (through CLI and/or Controller based interfaces) with exposure to REST, RPCs based interactions Preferred Qualifications: Contributions to Open-Source Test Automation would be highly desired Experience with system design, especially at scale, leveraging efficient algorithms and data structures. Hands-on experience in automation using Golang/Python including working in CI/CD based environments with exposure to Git, Jenkins, PyTest, 3rd-Party Open Source Test Frameworks Participation in algorithmic competitions (e.g., Codeforces, LeetCode, TopCoder) or significant contributions to open-source projects. Strong analytical and problem-solving skills with a focus on delivering optimal solutions under constraints.
