Please note that we have a hybrid approach to work and would like to find someone who can come into our offices in London at least one day a week
Who We Are
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences.
ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.
About the Role
We are seeking a highly skilled and motivated Data Platform Engineer to join our team focused on building and scaling our Analytics and Network Assurance Data Platform. This platform ingests, transforms, and serves large-scale telemetry and operational data to power advanced analytics, ML-driven insights, and real-time network assurance capabilities. You will play an important role in helping to deliver new ML powered features to our customers as well as monitoring and improving the existing features for performance and quality. This team leverages a robust technology stack that includes Java, Python,Flink, Spark, Kafka, OpenSearch, Kubernetes, and internal tools developed from existing open-source Big Data technologies
In this role, you’ll work at the intersection of data engineering, cloud infrastructure, and network observability, helping shape how massive volumes of data are collected, modeled, and served for both internal stakeholders and customer-facing analytics.
Responsibilities
- Collaborate with data scientists, product managers, and SREs to translate network analytics requirements into performant data models and APIs.
- Create and maintain an optimal data pipeline architecture.
- Contribute and operate data quality tooling.
- Monitor and optimize compute and query performances.
- Troubleshoot and debug issues across our applications and services.
Who You Are
Agile, pragmatic and hardworking. You also love to interact with data scientists, machine learning engineers and software engineers to develop pipelines that scale seamlessly at huge volumes of data. You love technology, innovation and building products at scale.
Minimum Qualifications
- Expert-level understanding of object oriented programming languages such as Java and Python
- Strong Computer Science fundamentals and object-oriented design skills
- Involvement in building large scale real-time streaming and batch pipelines using Kafka, Flink, or Spark
- Exceptional team collaboration and communication skills
- Experience working in a fast-paced development environment
Preferred Qualifications
- 6+ years of software development experience
- Bachelor's / master’s degree, or a PhD in a relevant field
- Understanding and use of Docker, Kubernetes and cloud technologies (AWS, GCP)
- Exposure to network protocols
Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's 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 you're interested in this work.
