Lead Software Engineer, Aiops

The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points. As the world continues its digital transformation and relies more on cloud services and the Internet, the “network,” which is now both public and private, has become a black box our customers cannot see or understand.

Our Internet and cloud intelligence platform delivers the only collectively powered real-time view of the Internet and private networks, cloud, and SaaS platforms, helping enterprises and service providers identify problems before they impact revenue, damage brand reputation, or halt employee productivity. In August 2020, Cisco Systems completed the acquisition of ThousandEyes, which now forms the ThousandEyes Business Unit within the Cisco Networking Business Group and is the Network Assurance solution for Cisco across the Cisco Networking Cloud and Cisco Security Cloud. ThousandEyes is also a foundational component of Cisco’s growing Full-Stack Observability (“FSO”) business.

About The Role As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI). The size, diversity, and richness of our data are simply unmatched. The Internet is changing fast, and we are too. The objective of this confidential product is to adopt a highly novel and ambitious approach for optimizing networks to better serve applications.

What You’ll Do You and your team will be designing and implementing large-scale machine learning pipelines. Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. Qualifications • 10 years of software development experience • 3 years of experience leading successful large scale software engineering projects • Youll possess a deep understanding of the intricacies inherent in machine learning systems • Proficient in crafting machine learning models, this candidates expertise spans neural networks, decision trees, and other methodologies, translating conceptual ideas into actual solutions • Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow, and can leverage code as a strategic tool to shape innovative solutions • Proficient in Java and/or Python, their skills transform abstract machine learning concepts into robust, efficient, and scalable solutions • Mastering the entire lifecycle of machine learning, from conceptualization and development to deployment and continual refinement Cisco values the perspectives and skills that emerge from employees with diverse backgrounds.

Thats why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact. We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if youre interested in this work.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.