Senior Software Engineer, Network Assurance Data Platform

1 Month ago • All levels • Data Analysis

Job Summary

Job Description

Cisco ThousandEyes is seeking a Data Platform Engineer to build and scale their Analytics and Network Assurance Data Platform. This role involves ingesting, transforming, and serving large-scale telemetry and operational data to power advanced analytics, ML-driven insights, and real-time network assurance. You will contribute to delivering new ML-powered features and improving existing ones for performance and quality, utilizing technologies like Java, Python, Flink, Spark, Kafka, OpenSearch, and Kubernetes. The position requires collaboration with data scientists, product managers, and SREs to create performant data models and APIs, maintain data pipeline architecture, operate data quality tooling, and optimize compute and query performance. Troubleshooting and debugging across applications and services will also be a key responsibility.
Must have:
  • Expert-level Java and Python programming
  • Strong CS fundamentals and object-oriented design
  • Experience with streaming/batch pipelines (Kafka, Flink, Spark)
  • Excellent collaboration and communication
  • Fast-paced development environment experience
Good to have:
  • 6+ years of software development
  • Bachelor's/Master's/PhD in relevant field
  • Docker, Kubernetes, cloud technologies (AWS, GCP)
  • Network protocols understanding

Job Details

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 engineeringcloud 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.

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About The Company

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 organizations rely more on cloud services and the Internet, the network has become a black box they can't understand. ThousandEyes gives organizations visibility into the now borderless network, arming them with an accurate understanding of how the network impacts their applications, users and customers. ThousandEyes is used by some of the world's largest and fastest growing brands, including all of the top 5 global software companies, 5 of the top 6 US banks, and 45 of the Fortune 500.

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