AI Platform Kubernetes Engineer

Who we are looking for
We are seeking a Kubernetes Engineer to design, implement, and manage robust Kubernetes clusters, ensuring the stability, scalability, and security of containerized applications. You will collaborate closely with development teams to streamline DevOps processes, ensuring seamless application deployments and management. The ideal candidate will be responsible for maintaining a reliable, efficient container infrastructure that can adapt to fluctuations in demand.

What you will be responsible for
As AI Platform Kubernetes Engineer you will

• Design, implement, and manage Kubernetes clusters to support diverse applications and services.
• Automate infrastructure processes using Infrastructure as Code (IaC) practices with Terraform to enhance efficiency.
• Collaborate closely with development teams to optimize DevOps processes, integrating Kubernetes with CI/CD pipelines (e.g., RTC, JIRA), automating application deployments, and providing guidance on containerization best practices.
• Ensure the performance, scalability, and reliability of Kubernetes environments through continuous monitoring, optimization, and troubleshooting.
• Implement and maintain best practices for container orchestration, deployment, and management

Required skills and experience:

• Bachelor's degree in engineering, Science, or Information Technology
• Familiarity with containerization (Docker) and cloud platforms (AWS, Azure). Familiarity with AKS and ACR is beneficial.
• Familiarity with distributed systems, Linux software packaging, and networking/security principles.
• Demonstrated ability to design, develop, and deploy scalable, cloud-native applications.
• Proficiency in scripting languages (Python, Bash, etc.) for automation.

Preferred skills and experience

• Strong knowledge of Kubernetes architecture, deployment, and management
• Certified Kubernetes Application Developer (CKAD) certification is a plus.
• Solid understanding of cloud-native technologies and microservices architectures.
• Excellent problem-solving, communication, and collaboration skills.

Salary Range:
$75,000 - $120,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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