Principal Software Engineer - Azure Core
Microsoft
Principal Software Engineer - Azure Core
Job Description
Microsoft Azure is the fastest-growing business in Microsoft’s history and serves as the foundation of Microsoft’s commercial cloud services. Our team, Azure Core, builds and manages the core platform that supports a wide range of services. As a Principal Software Engineer - Azure Core, you will have an exciting opportunity to innovate and shape the future of computing, and we encourage you to apply and learn more. Our team thrives on collaboration. You will work alongside a diverse group of professionals who welcome challenges, value continuous learning, and flourish in a cooperative environment. We embrace inclusivity and diverse perspectives, using empathy, trust, and accountability to drive our culture and deliver solutions in an iterative manner. You will be part of a fast-paced environment, solving complex problems that require creativity and teamwork to achieve meaningful business outcomes. We continuously strive for engineering and operational excellence. Azure Core is building the foundation for Microsoft’s cloud services, focusing on infrastructure and advanced cloud platform technologies such as cloud-native applications, containerization (Kubernetes), site reliability engineering (SRE), and high-performance computing (HPC). We are developing next-generation artificial intelligence (AI) data centers to power large-scale training and inference. We seek experienced Principal Software Engineers who can design, bootstrap, and operate infrastructure at hyperscale. 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.
Locations
- United States (Remote)
Salary
163,000 - 296,400 USD / yearly
Estimated Salary Rangehigh confidence
220,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field (degree in Computer Science, 8 years)
- technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python (experience, 8 years)
- bootstrapping and managing data center (DC) infrastructure, including device inventory, diagnosis, and repairs (experience, 1 years)
- experience with storage and acceleration technologies for Artificial Intelligence (AI) workloads, including distributed storage systems for multi-exabyte AI workloads, high-throughput data pipelines, preprocessing, and dataset versioning (experience, 1 years)
Preferred Qualifications
- Bachelor's Degree in Computer Science or related technical field (degree in Computer Science, 12 years)
- Master's Degree in Computer Science or related technical field (degree in Computer Science, 10 years)
- experience with Artificial Intelligence (AI) and Machine Learning (ML) job scheduling and orchestration at scale, using technologies such as Simple Linux Utility for Resource Management (SLURM), Ray, and Kueue (experience, 1 years)
- experience improving model serving and inference efficiency, ensuring low latency and high throughput for production workloads (experience, 1 years)
Responsibilities
- Partners with appropriate stakeholders to determine user requirements for one or more complex scenarios.
- Provides technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform.
- Leads by example and mentors others to produce extensible and maintainable code used across the company.
- Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product's project plans, release plans, and work items.
- Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- 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 and shares knowledge with other engineers.
Benefits
- healthcare: Industry leading healthcare
- education: Educational resources
- discounts: Discounts on products and services
- savings: Savings and investments
- leave: Maternity and paternity leave
- time_away: Generous time away
- giving: Giving programs
- networking: Opportunities to network and connect
Travel Requirements
0-25 %
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Principal Software Engineer - Azure Core
Microsoft
Principal Software Engineer - Azure Core
Job Description
Microsoft Azure is the fastest-growing business in Microsoft’s history and serves as the foundation of Microsoft’s commercial cloud services. Our team, Azure Core, builds and manages the core platform that supports a wide range of services. As a Principal Software Engineer - Azure Core, you will have an exciting opportunity to innovate and shape the future of computing, and we encourage you to apply and learn more. Our team thrives on collaboration. You will work alongside a diverse group of professionals who welcome challenges, value continuous learning, and flourish in a cooperative environment. We embrace inclusivity and diverse perspectives, using empathy, trust, and accountability to drive our culture and deliver solutions in an iterative manner. You will be part of a fast-paced environment, solving complex problems that require creativity and teamwork to achieve meaningful business outcomes. We continuously strive for engineering and operational excellence. Azure Core is building the foundation for Microsoft’s cloud services, focusing on infrastructure and advanced cloud platform technologies such as cloud-native applications, containerization (Kubernetes), site reliability engineering (SRE), and high-performance computing (HPC). We are developing next-generation artificial intelligence (AI) data centers to power large-scale training and inference. We seek experienced Principal Software Engineers who can design, bootstrap, and operate infrastructure at hyperscale. 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.
Locations
- United States (Remote)
Salary
163,000 - 296,400 USD / yearly
Estimated Salary Rangehigh confidence
220,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field (degree in Computer Science, 8 years)
- technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python (experience, 8 years)
- bootstrapping and managing data center (DC) infrastructure, including device inventory, diagnosis, and repairs (experience, 1 years)
- experience with storage and acceleration technologies for Artificial Intelligence (AI) workloads, including distributed storage systems for multi-exabyte AI workloads, high-throughput data pipelines, preprocessing, and dataset versioning (experience, 1 years)
Preferred Qualifications
- Bachelor's Degree in Computer Science or related technical field (degree in Computer Science, 12 years)
- Master's Degree in Computer Science or related technical field (degree in Computer Science, 10 years)
- experience with Artificial Intelligence (AI) and Machine Learning (ML) job scheduling and orchestration at scale, using technologies such as Simple Linux Utility for Resource Management (SLURM), Ray, and Kueue (experience, 1 years)
- experience improving model serving and inference efficiency, ensuring low latency and high throughput for production workloads (experience, 1 years)
Responsibilities
- Partners with appropriate stakeholders to determine user requirements for one or more complex scenarios.
- Provides technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform.
- Leads by example and mentors others to produce extensible and maintainable code used across the company.
- Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product's project plans, release plans, and work items.
- Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- 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 and shares knowledge with other engineers.
Benefits
- healthcare: Industry leading healthcare
- education: Educational resources
- discounts: Discounts on products and services
- savings: Savings and investments
- leave: Maternity and paternity leave
- time_away: Generous time away
- giving: Giving programs
- networking: Opportunities to network and connect
Travel Requirements
0-25 %
Tags & Categories
Answer 10 quick questions to check your fit for Principal Software Engineer - Azure Core @ Microsoft.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs