Senior Site Reliability Engineer - CTJ - Poly
Reston, VA 
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Job Description
OverviewMicrosoft has an exciting opportunity for a Senior Site Reliability Engineer in the Cloud+AI Silver Team. This team will be responsible for deploying and operating a Secure Work Area, including the infrastructure for collaboration within an airgapped environment. In this role, you will have the opportunity to work with engineers who enable a broad set of Azure services to be consumed by internal customers in highly secured and regulated industries. The systems and software you build will be required to meet the security policy and assurance requirements of both public and private sector customers. 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.
ResponsibilitiesThe scale of our operations is enormous. Microsoft's products and services are overwhelmingly consumed online, and billions of people use them every day. We need people who enjoy analyzing complicated problems, coming up with creative solutions, working in focused teams to build things no-one has thought of before, all in the service of production reliability. 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. 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. Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting issues, and deploying appropriate fixes to resolve root cause(s); alerts product teams and owners to major customer impacting issues and escalates resolution of highly impactful issues affecting multiple components or features to other engineers or engineering teams as needed. Shares details 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 best 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.

 

Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
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