Senior Software Engineer

Microsoft Advertising is an online advertising platform, where advertisers bid to display brief ads, service offers, product listings and videos to web users. Our data-enabled technology platform, encompassing Invest, Monetize, and Curate, optimize return on investment for both buyers and sellers, while maintaining a commitment to an open marketplace and empowering the open web globally.

As a Senior Software Engineer, Kubernetes Platform you will operate and support 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 strong debugging and troubleshooting skills, a deep understanding of Kubernetes and container orchestration, and a strong 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 languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years of experiences in infrastructure focusing on low level systems. 
• 3+ years of experiences in building, shipping and operating reliable, distributed solutions. 
• 3+ years of experience with Linux, Containers and Kubernetes. 

Preferred Qualifications:  

• 6+ years technical engineering experience with coding in at least one compiled (Golang, Rust) and one interpreted (Python, Perl) language 
• 6+ years experience with Linux. 
• 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 October 11, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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

• 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.