Kubernetes Platform Engineer

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Job Overview

The Kubernetes Platform Engineer at Marsh McLennan will be responsible for designing, implementing, and maintaining Kubernetes clusters to support our innovative cloud solutions. This role requires expertise in container orchestration, infrastructure as code, and strong collaboration with cross-functional teams to enhance the reliability and scalability of our platforms. The ideal candidate will drive initiatives that improve the deployment and operational efficiency of microservices within a robust, cloud-native environment.

Job Responsibilities

• Design and implement scalable and resilient Kubernetes architecture.
• Configure and manage CI/CD pipelines for containerized applications.
• Monitor and optimize Kubernetes performance and resource utilization.
• Develop infrastructure as code (IaC) solutions using tools like Terraform or CloudFormation.
• Collaborate with application development teams to enhance deployment workflows and troubleshoot issues.
• Implement security best practices and ensure compliance within Kubernetes environments.
• Automate operational tasks to enhance system stability and efficiency.
• Conduct training sessions and provide mentorship on Kubernetes and cloud technologies to team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in cloud infrastructure and container orchestration.
• Proven experience with Kubernetes and related microservices technologies.
• Strong proficiency in programming/scripting languages such as Python, Go, or Bash.
• Experience with containerization tools like Docker.
• Understanding of networking concepts and cloud service providers, particularly AWS or Azure.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
• Knowledge of continuous integration/continuous deployment (CI/CD) practices.

Technologies & Tools

As a Kubernetes Platform Engineer, you will work extensively with technologies such as Kubernetes, Docker, Terraform, and CI/CD tools. Familiarity with cloud platforms like AWS, Azure, or Google Cloud is essential, along with monitoring solutions such as Prometheus and logging platforms like ELK stack. Knowledge of networking protocols and practices will also be critical in deploying and managing robust cloud-native applications.

Ideal Candidates

The ideal candidate for this position will possess a strong analytical mindset coupled with a passion for technology and continuous learning. They will demonstrate an exceptional ability to work collaboratively in a fast-paced environment and possess excellent problem-solving skills. Strong communication abilities and a results-oriented approach are essential. Candidates should also show a proactive attitude towards embracing new challenges and the drive to maintain high operational standards in a digital-first company.