Senior Software Engineer, Kubernetes Platform

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As a Senior Software Engineer, Kubernetes Platform you will join a team responsible for administrating, operating, and supporting our shared application Kubernetes Platform consisting of 20+ clusters across 5 geos with 100+ nodes per cluster and 1000+ applications. You will have the opportunity to design, deploy, and troubleshoot high throughput, low latency, and globally scaled distributed systems while ensuring the availability, reliability and scalability of our services. The ideal candidate will have debugging and troubleshooting skills, a deep understanding of Kubernetes and container orchestration, and a grasp of low-level Linux systems, networking, and kernel internals.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:  

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in at least one compiled (Golang, Rust) and one interpreted (Python, Perl) language 
  • OR equivalent experience. 
• 4+ years of experience administrating Kubernetes Clusters. 
• 4+ years of experiences in infrastructure focusing on low level systems, Linux, Containers, and Kubernetes. 
• 4+ years of experiences in building, shipping and operating reliable, distributed solutions. 

Preferred Qualifications  

• 4+ years technical engineering experience with coding in at least one compiled (Golang, Rust) and one interpreted (Python, Perl) language.  
• 4+ years of experience administrating Kubernetes Clusters.  
• 4+ years of experiences in infrastructure focusing on low level systems, Linux, Containers, and Kubernetes. 
• Experience with troubleshooting issues from the orchestration layer to the runtime.   
• Experience designing and troubleshooting large distributed systems.  
• Experience with IaC solutions such as Puppet, Terraform, Ansible, etc. 

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.

Microsoft will accept applications for the role until December 2, 2024

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#kubernetes #k8s

• Design, deploy, and maintain high-availability Kubernetes clusters in a globally distributed environment. 
• Develop solutions ensuring low-latency performance and rapid scaling of containerized applications. 
• Build and maintain monitoring, logging, and alerting systems.  
• Troubleshoot and resolve complex issues related to performance, scaling, and reliability of Kubernetes environments. 
• Collaborate with development and infrastructure teams to ensure deployments are optimized for both performance and cost. 
• Implement and manage disaster recovery plans, failover strategies, and backup systems to ensure high system reliability and availability. 
• Automate infrastructure processes using Infrastructure as Code (IaC) using tools like Terraform, Puppet, and Ansible.