Software Engineer, AI Platform Research High Performance Computing (HPC)

Overview

• 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.

  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. 

Job Responsibilities:

• Work with engineering and architecture teams to design and implement applications for the management of Microsoft HLS AI Research Platforms, expanding automation & configuration management functionality, scalable software, and infrastructure services

• Work with Microsoft divisions which support HLS Research platforms in large scale and cloud-centric environments and will directly 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, as well as gap analysis for security improvements and critical controls

• 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 and ensure information is proactively and systematically shared with partners and stakeholders so issues can be resolved and objectives are met.

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.

  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:

• 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 (e.g. cloud, distributed systems or high-performance computing experience).

• Experience designing and building Research AI-focused application environments on primary cloud provider infrastructure, including services for big data analytics, scale out HPC/AI applications, GPU-centric ML and deep learning.

• 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, such as PCI or HITRUST.

• 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 to identify, define, recommend, and build optimal service solutions.

Software Engineering IC4 - 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.