Senior Site Reliability Engineer, Network Assurance Data Platform

undefined ago • All levels • Data Analysis

Job Summary

Job Description

Cisco ThousandEyes is a Digital Assurance platform that empowers organizations to deliver flawless digital experiences across every network. As a Senior Site Reliability Engineer (SRE) on the Network Assurance Data Platform team, you will ensure the reliability, scalability, and security of our cloud and big data platforms. You will collaborate with cross-functional teams to design, build, and maintain systems operating at multi-region scale, directly impacting the success of ML and AI initiatives by ensuring robust and efficient infrastructure.
Must have:
  • Design, build, and optimize cloud and data infrastructure for high availability and scalability.
  • Implement SRE principles: monitoring, alerting, error budgets, fault analysis.
  • Collaborate with development, product, and security teams for secure, scalable solutions.
  • Enhance operational efficiency through automation.
  • Troubleshoot complex production issues and perform root cause analyses.
  • Contribute to continuous improvement via postmortem reviews and performance optimization.
  • Shape technical strategy and roadmap.
  • Mentor peers and foster a culture of learning.
  • Design and implement scalable, well-tested solutions.
  • Strong hands-on experience in AWS.
  • Strong Infrastructure as Code skills (Terraform, Kubernetes).
  • Experience in AWS cost management.
  • Understanding of Prometheus and Alertmanager.
  • Ability to write high-quality code in Python, Go.
  • Good understanding of Unix/Linux systems.
Good to have:
  • Experience building cloud, big data and/or ML/AI infrastructure (e.g. EMR, Airflow, Comet ML, AWS SageMaker, Spark, etc)

Job Details

Who We Are

Cisco ThousandEyes is a Digital 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

As a Senior Site Reliability Engineer (SRE) on the Network Assurance Data Platform team, you will play a key role in ensuring the reliability, scalability, and security of our cloud and big data platforms. You will collaborate with cross-functional teams, including software development, product management, and security, to design, build, and maintain systems operating at multi-region scale. Your work will directly impact the success of our machine learning (ML) and AI initiatives by ensuring the underlying infrastructure is robust, efficient, and aligned with operational excellence.

What You'll Do

In this role, you will design, build, and optimize cloud and data infrastructure to ensure high availability, reliability, and scalability of big-data and ML/AI systems, while implementing SRE principles such as monitoring, alerting, error budgets, and fault analysis. Collaborating closely with development, product management, and security teams, you will create secure, scalable solutions that support ML/AI workloads and enhance operational efficiency through automation. You will troubleshoot complex technical issues in production environments, perform root cause analyses, and contribute to continuous improvement efforts through postmortem reviews and proactive performance optimization. Additionally, you will help shape the team’s technical strategy and roadmap, balancing immediate needs with long-term goals, while mentoring peers and fostering a culture of learning and technical excellence.

Qualifications

  • Ability to design and implement scalable and well tested solutions, with focus on streamlining operations.
  • Strong hands on experience in cloud preferably AWS,
  • Strong Infrastructure as Code skills, ideally with Terraform and Kubernetes.
  • Previous experience in AWS cost management
  • Understanding of Prometheus and its ecosystem, including Alertmanager.
  • Ability to write high quality code in Python, Go, or equivalent languages
  • Good understanding of Unix/Linux systems, the kernel, system libraries, file systems, and client-server protocols.
  • Bonus:  Experience building cloud, big data and/or ML/AI infrastructure (e.g. EMR, Airflow, Comet ML, AWS SageMaker, Spark, etc)

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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