Senior Go Cloud Engineer: Kubernetes AI Accelerator

Graphcore; Województwo pomorskie; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Medical and dental plans

Gym card

Pension plan (matched up to 4%)

Annual leave

Job summary

Graphcore in Gdańsk is seeking a Senior Cloud Software Engineer to lead efforts in enabling new AI accelerator hardware within Kubernetes environments. You will design, develop, and maintain Go applications, ensuring seamless integration with existing Kubernetes clusters and delivering a native end user experience.

The role requires extensive software development experience, strong Kubernetes expertise (CKA/CKS desirable), Linux proficiency, and a collaborative approach to mentoring colleagues

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
• 5+ years of software development experience, preferably in cloud environments.
• Proficiency in Go programming.
• Extensive Kubernetes experience; CKAs/CKSs preferred.

Responsibilities

• Lead design and development of Go applications for AI accelerator integration in Kubernetes.
• Ensure seamless hardware integration with existing Kubernetes clusters.
• Mentor junior engineers and drive continuous improvement.
• Collaborate with cross-functional teams to implement new features.
• Conduct code reviews and provide constructive feedback.
• Troubleshoot complex technical issues and engage with the Kubernetes community when needed.
• Document code and project details comprehensively.
• Stay current with Kubernetes and cloud computing trends.

Skills

Go programming

Kubernetes

CI/CD

Linux

Cloud computing

Leadership

Mentoring

Kubernetes security

Education

Bachelor's degree in CS or Engineering

Tools

CKA

CKS

Job description

Graphcore in Gdańsk is seeking a Senior Cloud Software Engineer to lead efforts in enabling new AI accelerator hardware within Kubernetes environments. You will design, develop, and maintain Go applications, ensuring seamless integration with existing Kubernetes clusters and delivering a native end user experience.

The role requires extensive software development experience, strong Kubernetes expertise (CKA/CKS desirable), Linux proficiency, and a collaborative approach to mentoring colleagues