LOG IN
SIGN UP
Tech Job Finder - Find Software, Technology Sales and Product Manager Jobs.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Tech Job Finder
OR continue with e-mail and password
E-mail address
First name
Last name
Username
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Site Reliability Engineering IC3

at Microsoft

Back to all Cloud & DevOps jobs
Microsoft logo
Industry not specified

Site Reliability Engineering IC3

at Microsoft

JuniorNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 8 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the Azure Specialized AI Infrastructure team in India as a Site Reliability Engineer II (IC3). You will automate and maintain large-scale distributed AI infrastructure, focusing on reliability, scalability, and performance for AI workloads. Responsibilities include incident management, performance optimization for GPUs/InfiniBand, infrastructure automation (Kubernetes, Docker), and providing technical leadership with customer advocacy. The role emphasizes collaboration, start-up mindset, and staying ahead of emerging AI infrastructure technologies.

Overview

Join the Azure Specialized AI Infrastructure team in India to drive advancements in Artificial Intelligence (AI) and support high-performance infrastructure for generative AI workloads. As a Site Reliability Engineer II, you will automate and maintain large-scale distributed systems powering latest AI applications and machine learning models. Your primary focus will be on the reliability, scalability, and performance of AI infrastructure, ensuring seamless operations for mission-critical AI services. The role emphasizes a start-up mindset, collaboration, and customer advocacy.

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
  • Reliability: Ensure the reliability, scalability, and security of AI infrastructure supporting HPC & AI workloads.
  • Incident Management: Lead incident response, root cause analysis, and continuous improvement to minimize downtime and optimize service availability.
  • Performance Optimization: Identify and resolve bottlenecks in compute, storage, networking, and specialized hardware (GPUs, InfiniBand) to enhance AI system performance.
  • Infrastructure Automation: Develop and maintain automation tools for deployment, monitoring, predictive analysis and management of AI infrastructure, including containerized environments (Kubernetes, Docker).
  • Technical Leadership: Provide technical guidance in cloud and AI infrastructure technologies, collaborating with cross-functional teams to drive innovation and best practices.
  • Customer Advocacy: Act as a customer advocate, focusing on service excellence and live site reliability for AI workloads.
  • Research & Innovation: Stay informed on emerging AI infrastructure technologies and industry trends, recommending adoption where beneficial.


Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 2+ 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
    • 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 Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem).
  • Experience with GPUs, InfiniBand, or similar high-performance technologies. - Proficiency in RDMA (Remote Direct Memory Access), MPI (Message Passing Interface), and high-performance computing architecture.
  • Proficient in scripting (PowerShell, Shell script, etc.) and deep expertise in Linux. Microsoft is an equal opportunity employer.

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



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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Site Reliability Engineering IC3

at Microsoft

Back to all Cloud & DevOps jobs
Microsoft logo
Industry not specified

Site Reliability Engineering IC3

at Microsoft

JuniorNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 8 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the Azure Specialized AI Infrastructure team in India as a Site Reliability Engineer II (IC3). You will automate and maintain large-scale distributed AI infrastructure, focusing on reliability, scalability, and performance for AI workloads. Responsibilities include incident management, performance optimization for GPUs/InfiniBand, infrastructure automation (Kubernetes, Docker), and providing technical leadership with customer advocacy. The role emphasizes collaboration, start-up mindset, and staying ahead of emerging AI infrastructure technologies.

Overview

Join the Azure Specialized AI Infrastructure team in India to drive advancements in Artificial Intelligence (AI) and support high-performance infrastructure for generative AI workloads. As a Site Reliability Engineer II, you will automate and maintain large-scale distributed systems powering latest AI applications and machine learning models. Your primary focus will be on the reliability, scalability, and performance of AI infrastructure, ensuring seamless operations for mission-critical AI services. The role emphasizes a start-up mindset, collaboration, and customer advocacy.

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
  • Reliability: Ensure the reliability, scalability, and security of AI infrastructure supporting HPC & AI workloads.
  • Incident Management: Lead incident response, root cause analysis, and continuous improvement to minimize downtime and optimize service availability.
  • Performance Optimization: Identify and resolve bottlenecks in compute, storage, networking, and specialized hardware (GPUs, InfiniBand) to enhance AI system performance.
  • Infrastructure Automation: Develop and maintain automation tools for deployment, monitoring, predictive analysis and management of AI infrastructure, including containerized environments (Kubernetes, Docker).
  • Technical Leadership: Provide technical guidance in cloud and AI infrastructure technologies, collaborating with cross-functional teams to drive innovation and best practices.
  • Customer Advocacy: Act as a customer advocate, focusing on service excellence and live site reliability for AI workloads.
  • Research & Innovation: Stay informed on emerging AI infrastructure technologies and industry trends, recommending adoption where beneficial.


Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 2+ 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
    • 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 Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem).
  • Experience with GPUs, InfiniBand, or similar high-performance technologies. - Proficiency in RDMA (Remote Direct Memory Access), MPI (Message Passing Interface), and high-performance computing architecture.
  • Proficient in scripting (PowerShell, Shell script, etc.) and deep expertise in Linux. Microsoft is an equal opportunity employer.

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



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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

SIMILAR OPPORTUNITIES

No similar jobs available at the moment.