Staff Software Engineer - Capacity Engineering
Pinterest is seeking a Staff Software Engineer, Capacity Engineering. The team is responsible for efficiently managing one of the largest-scale cloud-native infrastructures in the world. This role is highly impactful, as efficiency is an ongoing strategic priority for Pinterest. The role has direct visibility across Pinterest Engineering and with Engineering and company leadership. The team is looking for a candidate with a strong background in implementing performance and efficiency projects on large scale distributed systems.
What you’ll do:
Improve the efficiency of large scale shared environments like Kubernetes
Improve the performance and efficiency of large scale distributed systems that drive Pinterest systems
Build develop and mature profiling and optimization capabilities for Pinterest scale
Collaborate with Infrastructure Engineering and SRE teams in their mission to deliver highly available, resilient, secure and efficient foundations for Pinterest’s tech stack
What we’re looking for:
Hands-on experience with Kubernetes or other large scale shared infrastructure.
Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges
Experience building and managing highly available distributed applications at scale
Proficiency in software development languages such as Java, Python and C++
Excellent skills in communicating complex technical issues
Bonus points for the following:
Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale
Experience with AWS or similar cloud environments
Deep understanding of infrastructure capacity and performance
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-JE2
About the job
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Staff Software Engineer - Capacity Engineering
Pinterest is seeking a Staff Software Engineer, Capacity Engineering. The team is responsible for efficiently managing one of the largest-scale cloud-native infrastructures in the world. This role is highly impactful, as efficiency is an ongoing strategic priority for Pinterest. The role has direct visibility across Pinterest Engineering and with Engineering and company leadership. The team is looking for a candidate with a strong background in implementing performance and efficiency projects on large scale distributed systems.
What you’ll do:
Improve the efficiency of large scale shared environments like Kubernetes
Improve the performance and efficiency of large scale distributed systems that drive Pinterest systems
Build develop and mature profiling and optimization capabilities for Pinterest scale
Collaborate with Infrastructure Engineering and SRE teams in their mission to deliver highly available, resilient, secure and efficient foundations for Pinterest’s tech stack
What we’re looking for:
Hands-on experience with Kubernetes or other large scale shared infrastructure.
Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges
Experience building and managing highly available distributed applications at scale
Proficiency in software development languages such as Java, Python and C++
Excellent skills in communicating complex technical issues
Bonus points for the following:
Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale
Experience with AWS or similar cloud environments
Deep understanding of infrastructure capacity and performance
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-JE2