Principal Site Reliability Engineer, Datastores (ThousandEyes)

Principal Site Reliability Engineer, Datastores (ThousandEyes)

Location :

Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.

Area of Interest :

Compensation Range : 219700 USD - 323500 USD

Job Type : Professional

Job Id : 1422674

Who We Are

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 the world continues its digital transformation and relies more on cloud services and the Internet, the network, which is now both public and private, has become a black box our customers cannot see or understand.

Our Internet and cloud intelligence platform delivers the only collectively powered real-time view of the Internet and private networks, cloud, and SaaS platforms, helping enterprises and service providers identify problems before they impact revenue, damage brand reputation, or halt employee productivity.

In August 2020, Cisco Systems completed the acquisition of ThousandEyes, which now forms the ThousandEyes Business Unit within the Cisco Networking Business Group and is the Network Assurance solution for Cisco across the Cisco Networking Cloud and Cisco Security Cloud.

ThousandEyes is also a foundational component of Cisco’s growing Full-Stack Observability ( FSO ) business.

About the Role

The Datastores team is focused on running our platform’s mission-critical datastores (think ElasticSearch, Kafka, MongoDB, MySQL, etc).

The team is responsible for all aspects of our platform’s datastores reliability, such as availability, performance, change management, capacity planning, monitoring, and emergency response.

As a Principal Site Reliability Engineer, you will focus on innovating and providing strong technical vision as well as work with the team to build reliable, scalable, and highly available datastores on a constantly growing multi-region scale platform.

You will partner with leaders across ThousandEyes as a datastores subject matter expert to help design the best architectures and processes and be a role model for the Engineering team in delivery and teamwork.

What You’ll Do

We’re looking for a reliability-focused engineering leader to focus on automation and help drive datastores operational excellence to a new level.

With ever-growing volumes of data and operating at a multi-region scale, this is an opportunity for you to join a team and help take the ThousandEyes platform’s datastores to a new level.

Here are some of the main things we are looking for :

Deep knowledge of datastores : You have experience building and supporting mission-critical datastores, and be happy talking relational and NoSQL.

You are able to ensure that the ThousandEyes platform’s services are using the right datastores infrastructure, designed and optimized for availability, latency, and performance.

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 datastores 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’s datastores.
• 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 datastores.
• Ability to write high-quality code in Python, Go, or equivalent languages.
• Strong Infrastructure as Code skills, ideally with Terraform and Kubernetes.
• Good knowledge of cloud provider managed services (ideally AWS), and how they can be leveraged in our context.
• Good understanding of Unix / Linux systems, the kernel, system libraries, file systems, and client-server protocols.
• Strong communication and documentation skills.

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