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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 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.
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.
