Barclays Software Engineer

barclays Off-Campus software engineer 2024 Hiring Details:

About Barclays

• Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.
• Risk and Control Objective: Take ownership for managing risk and strengthening controls in relation to the work you do

Hybrid Working — Structured hybrid role:

• At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. Colleagues work at an onsite location on fixed 'anchor' days of the week, for a minimum of two days a week or more, as set by the business area.

Introduction:

• As the Kubernetes Engineer you will be key member in a cross-functional team developing Generative AI applications for the bank. You will be responsible for the design and implementation of Kubernetes clusters ensuring seamless orchestration of containerised apps. You will drive the team's strategy on how to leverage Kubernetes to maximise scalability, reliability and security.

What will you be doing?

• Design, deploy and maintain Kubernetes clusters across all environments – implementing best practice for security, reliability, and scaling.
• Use Infrastructure as Code tools to automate provisioning of Kubernetes infrastructure.
• Advise the team on the containerisation and packaging of applications.

What we're looking for:

• An experienced Kubernetes with a wealth of experience managing Kubernetes clusters for applications. You are a collaborative team player who likes to get hands-on in the development of technical products.

Skills that will help you in the role:

• Bachelor's in Computer Science, related fields, or equivalent experience.
• Deep Kubernetes knowledge, extensive experience managing K8s environments.
• Significant Cloud platforms experience (AWS and Azure).
• Experience with CI/CD tools (Jenkins, GitLab).
• Proficient in programming languages.
• Experience within AI/ML environment.

Where will you be working?

• Pune