Note: The job is a remote job and is open to candidates in USA. Microsoft is hiring a Senior Software Engineer for its Health & Life Sciences AI Platform Research HPC Engineering team. The role builds and maintains cloud-based HPC AI research environments and develops security solutions and integrations to support availability, scalability, and compliance.
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
Skills
- 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
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
- 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
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