Principal Site Reliability Engineer, Efficiency and Performance.
3 months ago
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
Efficiency and Performance SRE team is focused on driving holistic cloud operations focused on reliability and efficiencies around the ThousandEyes cloud infrastructure and platform. The team is responsible for driving tooling, processes and standards that are crosscutting and critical for the reliability of the ThousandEyes platform defining how we operate. From driving AMI generation and OS standardization to the strategic approach of how ThousandEyes implements FinOps or operational excellence through metric-driven alert/error budgets.
As a Principal Site Reliability you will focus on innovating and providing strong technical vision as well as work with the team to build reliable, scalable frameworks with the goal of driving the key principle of having one operational model. You will focus on simplifying and making the platform easy to operate at scale. You will partner with leaders across ThousandEyes as a subject matter expert to help design the best architectures and processes, automations and be a role model for the Engineering team in delivery and team work.
What You’ll Do
We’re looking for a reliability-focused SRE to focus on automation and help drive Efficiency and Performance to take operational excellence to a new level.
Here are some of the main things we are looking for:
Deep knowledge around cloud operations. You have a cloud first mindset and experience building and supporting SaaS platforms operating out of cloud environments. You are able to design and architect best in class systems and frameworks that simplify how ThousandEyes operates in the cloud at a multi-region scale. Master of perception and execution. You are able to identify opportunities and are able to guide teams through the orchestration of large, high-impact projects, and consistently deliver successful outcomes. Strong technical vision. You can collaborate with and beyond the team to formulate a compelling vision for the systems the team owns. You have the communication skills to sell it and to make sure it is represented in the team’s strategy and roadmap. Expert in reliability. This is a hands-on role, so you will be excited by the opportunity to write software, automate and build reliable systems in order to enable our platform to scale effortlessly. Think self service. You will have many examples of successfully delivering complex systems. Natural collaborator. It takes a village to do anything worthwhile, and you’re happy working across Engineering and Product Management to help shape the future direction of the platform. Effective mentor. You have a passion to up-level the team and those around you. You are open to learning as well…nobody is an expert at everything.
Qualifications
Ability to design and implement scalable and well tested solutions, with focus on streamlining operations. Strong hands on experience in cloud preferably AWS, Ability to write high quality code in Python, Go, or equivalent languages. Strong Infrastructure as Code skills, ideally with Terraform and Kubernetes. Expertise in configuration management tools like Puppet. Deep knowledge of cloud security best practices and compliance standards. Good understanding of Unix/Linux systems, the kernel, system libraries, file systems, and client-server protocols. Bonus points for candidates with experience in handling BigData workloads in AWS. Strong communication and documentation skills.
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