Microsoft Site Reliability Engineer II 

United States, California 

496588332

4+ years technical experience in software engineering, network engineering, or systems administration

o OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in software engineering, network engineering, or systems administration

o OR Master's Degree in Computer Science, Information Technology, or related field.

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.

• Experience in developing highly scalable Service Reliability services and extensive experience using cloud online services.
• Experience in prompt flow engineering and LLM systems.
• Experience in developing reporting dashboards such as Power BI.

Microsoft will accept applications for the role until June 20, 2024.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Technical Knowledge and Domain-Specific Expertise

· Demonstrates expertise in distributed systems design, interactions between cloud technology layers and components, common dependencies at scale, and the code that defines infrastructures. Can identify and recommend configurations optimal of cloud technology solutions and modify the code base that defines systems or cloud technologies to improve the reliability and operability of supported products with minimal guidance from other engineers.

· Develops an understanding of the code, features, and operations of specific products at scale as required to contribute to incremental improvements in product availability, reliability, efficiency, observability, and/or performance; participates in on-boarding, code/design reviews, and regular meetings with the engineering teams that develop and/or manage those products.

· Researches and maintains an awareness in industry trends, advances in distributed systems and cloud technologies, new tools, and/or processes for maintaining and improving product availability, reliability, efficiency, observability, and/or performance. Contributes to the implementation of new solutions within their team by identifying ways they can be applied to solve persistent problems.

Contributions to Development and Design

· Leverages technical expertise in large scale distributed systems and specific products, as well as objective insights drawn from analyses of production telemetry data to suggest changes or add-ons to product features or code to improve the availability, reliability, efficiency, observability, and performance of product components or features supported by their team.

Designing and implementing Service Reliability services,and processes.

Generating software specifications, proof-of-concepts, and prototype solutions given high level feature requirements.

Using data and telemetry to improve feature work and propose feature improvements to existing products.

· Develops and tests basic changes to optimize code and improve the observability, reliability and operability of a defined range of platform, system, or product components or features with direction from other engineers.

· Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles; leverages technical expertise on underlying systems/platforms and insights drawn from engagements with product engineering teams and telemetry analyses to propose potential improvements in code base and designs across components and features of one or more products.

Driving Operational Excellence

· Independently develops code or scripts that automate the performance of repetitive and easily scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale.

· Leverages technical expertise and telemetry analysis across a range of components and/or features to identify patterns and opportunities to implement configuration and data changes for one or more platforms, systems, or products in production using code, tooling, and automation.

· Identifies opportunities to leverage existing tools and automation to enable product engineering teams to increase the velocity in which they can reliably and safely implement changes in production; monitors the effects of changes across multiple components or features within a single platform or system.

· Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of product components and features operating at scale. Independently performs analyses using existing tools and/or models to identify insights and shares them with product engineering teams to directly contribute to improvements in product development and/or operations; monitors the impact of changes on operations metrics (e.g., Time-to-X).

· Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, reliability, performance, and/or efficiency of components and features; proposes solutions that will resolve and prevent recurring issues and brings them to the attention of their Site Reliability Engineering (SRE) and/or product engineering teams.

related to incidents and their resolution through post-mortem reports and during regular review meetings.

· Develops alerts and instrumentation across components and features to monitor product capacity and resource demands and analyze telemetry data using existing capacity planning models; draws insights from analyses of capacity and resource data to optimize component and feature code to manage resources and capacity across limited range of use conditions and system parameters.

· Utilizes insights from performance and resource monitoring tools to identify whether there is a need to optimize the efficiency of component and feature code, or if changes to compute resources are required; models the predicted effect of changes to code and/or compute resources across components or features to document the efficacy of proposed solutions.

· Shares insights and practices that can be applied to improve development and operations of system, platform, or product components and features by participating in code/design reviews, incident drills and debriefs, and regular meetings, as well as interactions with more experienced SREs and members of product engineering teams.

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