[Hiring] Software Engineer, AI Platform Research High Performance Computing @Microsoft AI

Role Description

As part of the Microsoft AI Health & Life Sciences (HLS) AI Platform Research High Performance Computing (HPC) Engineering team, you will participate in the creation and maintenance of application-managed development, test, and production cloud-resident HPC AI Research environments with a goal of high availability, fault-tolerance and scalability. As a Senior Software Engineer, you will also be responsible for designing, implementing, and improving security solutions & integration across the organization, aligned with Microsoft’s global security, compliance, and privacy programs.

• Work with engineering and architecture teams to design and implement applications for the management of Microsoft HLS AI Research Platforms.
• Expand automation & configuration management functionality, scalable software, and infrastructure services.
• Collaborate with Microsoft divisions supporting HLS Research platforms in large scale and cloud-centric environments.
• Contribute to continuous improvements of our infrastructure security posture.
• Design and implement new tools and processes to automate configuration, deployment, monitoring, and operational activities using cloud infrastructure DevOps best practices.
• Develop & maintain full application stacks from the OS through custom applications using cloud-based computing environments.
• Provide security expertise to internal clients on topics ranging from cloud architecture, hardening, monitoring, incident detection, and response.
• Perform tasks related to securing and maintaining the products, tools, and processes for which you are responsible.
• Identify and resolve misalignments in priorities between service teams.
• Ensure information is proactively and systematically shared with partners and stakeholders.

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.

Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements.
• 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

• Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field.
• 6+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience in the design and development of complex distributed IT/Research compute solutions.
• Experience designing and building Research AI-focused application environments on primary cloud provider infrastructure.
• Proficiency with Azure-native IAAS/SAAS orchestration and configuration automation frameworks.
• Proficiency with Linux system administration and with the development of SAAS, containerized application development, and automation tools.
• Skill and ability to train others on technical and procedural topics.
• Experience with securing environments on one or many of the major cloud providers to an industry certification standard.
• Experience with DevOps tools such as Azure DevOps, GitHub, or BitBucket in a cloud-centric environment.
• A team player capable of high performance, flexibility in a dynamic working environment.

Compensation

The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.

Application Process

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Equal Opportunity Employer

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.