Senior Software Engineer - Azure HPC - AI Software

Azure HPC/AI Software team is expanding our talented team of developers in Dublin. Our software backs some of the world’s largest and most critical workloads for artificial intelligence (AI) and high-performance computing (HPC). Computational demand driven by artificial intelligence and other simulations is growing exponentially and we’re building products to service this demand with access to the latest hardware, networking, and storage technologies. You will work with a team of experts in distributed systems, machine learning, and cloud computing to deliver secure, innovative, and scalable products that enable customers to run their most demanding applications on Azure.

As a member of our extended development and support team in Azure HPC/AI, you will work closely with other developers and industry experts around the world to help build a secure, reliable, scalable, and flexible platform to meet the technical computing challenges of HPC and AI workloads and help set the standards for this critical technology space.

As a senior member of our team, you will participate in the hiring, training, mentoring, and development of junior staff and lead virtual teams of engineers to solve complex problems. You will work closely with team leaders and other senior developers across the organization in our mission to deliver the best experience to our customers.

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.

Responsibilities

• Collaborates with appropriate stakeholders to determine user requirements for a scenario.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND extensive technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Demonstrated technical experience in cloud computing, distributed systems, and/or high-performance computing (HPC) systems.
• Demonstrated experience maintaining high service reliability and availability for a production service or distributed system.
• Flexibility in schedule to accommodate working with team members and customers across multiple time zones.

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:

• Familiarity with Microsoft Azure cloud technology.
• Experience with Linux, containers, and related cloud-native open source technologies.
• Experience with high-performance computing workloads and/or job schedulers.
• Knowledge of networking fundamentals.

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Microsoft is an equal opportunity employer. All qualified