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Required/Minimum 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
o OR equivalent experience.
2+ years of experience in GO, Kubernetes, CI\CD concepts and hands on implementation experiences
2+ years of Software Engineering and experience in testing, deploying and supporting large scale services on Azure/AWS/GCP environments.
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:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Additional or 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
o 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
o OR equivalent experience.
. Proven experience with building micro services, supportability and monitoring Infrastructures
Find additional benefits and pay information here:
Microsoft will accept applications for the role until September 30, 2024.
• You will be part of a infrastructure software engineering team collaboratively designs, builds, and maintains tools that ensuring seamless and efficient operations for the organization's which accelerating the developer experience.
• You will collaborate closely with multiple teams across Microsoft to deliver key customer solutions and the technology to support them.
• Engage in and improve end-to-end lifecycle of services from inception and design, through deployment, operation, and refinement.
• Analyze complex system behavior, performance, and application issues.
• Apply modern software engineering practices to streamline deployments, drive down costs and operational overhead while meeting critical reliability and availability KPIs.
• Work hand in hand with engineering teams to offer guidance and education on integration, testing, monitoring, and security across different technology stacks.
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