Kubernetes Engineer
Location: London (Hybrid - 2/3 days per week onsite)
Duration: 12 months
Status: INSIDE IR35
Day Rate: Competitive DOE
About the job
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
We are a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
The role
G-Research is going through an exciting period of growth and transforming the way we run and build platforms. As part of our transformation, we are looking for a highly skilled engineer to join our expanding Core Compute Platform Engineering team.
As a Kubernetes Engineer, you will help grow the platform, owning its design and build, as well as being responsible for monitoring performance. You will help the team deliver a fully featured, secure platform and enable the business to deploy applications, which are critical to our success.
Key responsibilities of the role include:
Enhancing our Kubernetes compute platform through diverse project contributions
Elevating platform reliability and user satisfaction, while improving integration with third-party solutions
Forging standards and best practices in partnership with platform and development teams, offering direct help for migrations and performing upgrades of key systems
Collaborating with other engineers to troubleshoot and resolve Kubernetes-related issues
Who are we looking for?
The ideal candidate will have the following skills and experience:
Kubernetes administration experience, including installation, configuration, and troubleshooting
Kubernetes development experience
Development skills in Python or Go
Ideally a Linux Engineering, DevOps, Networking or SRE background
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
#J-18808-Ljbffr
Location: London (Hybrid - 2/3 days per week onsite)
Duration: 12 months
Status: INSIDE IR35
Day Rate: Competitive DOE
About the job
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
We are a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
The role
G-Research is going through an exciting period of growth and transforming the way we run and build platforms. As part of our transformation, we are looking for a highly skilled engineer to join our expanding Core Compute Platform Engineering team.
As a Kubernetes Engineer, you will help grow the platform, owning its design and build, as well as being responsible for monitoring performance. You will help the team deliver a fully featured, secure platform and enable the business to deploy applications, which are critical to our success.
Key responsibilities of the role include:
Enhancing our Kubernetes compute platform through diverse project contributions
Elevating platform reliability and user satisfaction, while improving integration with third-party solutions
Forging standards and best practices in partnership with platform and development teams, offering direct help for migrations and performing upgrades of key systems
Collaborating with other engineers to troubleshoot and resolve Kubernetes-related issues
Who are we looking for?
The ideal candidate will have the following skills and experience:
Kubernetes administration experience, including installation, configuration, and troubleshooting
Kubernetes development experience
Development skills in Python or Go
Ideally a Linux Engineering, DevOps, Networking or SRE background
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
#J-18808-Ljbffr
