Cisco Systems, Inc.
Principal Site Reliability Engineer, Datastores (ThousandEyes)
Cisco Systems, Inc., San Francisco, California, United States, 94199
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 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 team work.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 evergrowing 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.
#J-18808-Ljbffr
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 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 team work.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 evergrowing 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.
#J-18808-Ljbffr