Senior Software Engineer

Microsoft AI platform is the next generation cloud business positioned to address the growing AI market. We are on the verge of an AI revolution and have a tremendous opportunity to empower our partners and customer to harness the full power of AI responsibly. AML offers a fully managed AI platform to accelerate the research, development, and operations of AI powered intelligent solutions at scale. Do you want to join a team entrusted with serving all internal and external ML workloads? We are already serving billions of requests per day on the most cutting-edge scenarios across the company. You will be joining ML lifecycle team that is working on new developer platform, influencing the overall product, driving new features and platform capabilities from preview to General Availability, and many exciting problems on the intersection of AI and cloud.

We are looking for a Senior Software Engineer who is passionate about designing and building highly reliable, available platform to support service at scale. You will also be expected to work on high throughput/low latency scenarios and drive performance optimization capabilities.

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline 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.

• Knowledge in Network architecture and concepts (HTTP and TCP Protocols, Authentication and Sessions etc).

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience in distributed computing and architecture.
• Platform and capability development experience in Azure or other Cloud technologies strong plus.
• Experience in developing low latency systems.
• Experience in developing and operating high scale, reliable online services.
• Knowledge and experience in OSS, Docker, Kubernetes, .NET, C#, java, python or equivalent programming languages.
• Good communication, collaboration skills and a great team player.

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 January 30, 2025.

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.

#AIPLATFORM#

• Engage directly with key partners to understand and implement complex capabilities including managing large scale multi-tenant platform.
• Anticipate, identify, assess, track and mitigate project risks and issues in a fast-paced start up like environment.
• Drive thought leadership, architecture and high scale, complex graph topologies, high throughput, low latency system.
• Respond, resolve and incorporate customer feedback with agility and obsession.
• Live and contribute towards an inclusive culture.