Software Reliability Engineer II at Microsoft
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Software Development, Software Reliability Engineering, C#, Java, C/C++, Debugging, AI/ML, LLMs, Networking, Storage, Virtualization, Hyperconverged Infrastructure, Fortune 500 Experience

Industry

Software Development

Description
Acts as a Designated Responsible Individual (DRI) working on call to monitor service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Contributes to efforts to collect, classify, and analyze data with little oversight on a range of metrics (e.g., health of the system, where bugs might be occurring). Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products. Contributes to the development of automation within production and deployment of a complex product feature. Implements solutions and mitigations to more complex issues impacting performance or functionality of Live Site service and escalates as necessary. 4+ years of experience in Software Development/Software Reliability Engineer Bachelor's/master's degree or equivalent in Computer science or related field required A strong Computer Science background with solid C#, Java, C/C++ programming (mostly scripting and automation) Debugging skills is highly desired Experience with AI/ML and LLMs is highly preferred Strong skills in Networking, Storage, and Virtulization Prior experience in working in hyperconverged infra Prior experience in working with fortune 500 customers
Responsibilities
The Software Reliability Engineer II acts as a Designated Responsible Individual (DRI) to monitor services for issues and alerts stakeholders for simple problems. They contribute to data analysis, product feature refinement, automation development, and implement solutions for complex issues impacting service performance.
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