New 
Site Reliability Engineer - CTJ - Poly
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 22, 2025 | |
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OverviewLeverages end-to-end technical expertise in large scale distributed systems' infrastructure, code, inter- and intra-service dependencies, and operations to proactively and continuously improve the reliability, performance, efficiency, latency, and scalability of services and/or products operating at scale. Partners with software engineering product teams by suggesting scalable ways to optimize code, sharing expertise and insights drawn from working across related services or products, and participating in incident response throughout development and operations lifecycles. Develops code, scripts, systems, and/or tools that reduce operational burden by automating complex and repetitive tasks, enable product engineering teams to increase the velocity at which they can safely deploy changes to production, and monitor the effects of changes across systems, services, and/or products. Analyzes telemetry data to develop capacity planning models, identify patterns and trends that drive continuous improvement, and highlight opportunities to deploy automation to monitor and manage services and/or products. Participates in on-call rotations to resolve live site incidents, minimize customer impact, and document solutions and insights that inform ongoing improvements to infrastructure, code, tools, and/or processes that prevent the recurrence of similar issues. 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.
ResponsibilitiesIndependently creates, tests, and deploys changes through a safe deployment process (SDP) to enhance code quality and improve the observability, security, reliability and operability of one or more platforms, systems, or products operating at scale.Leverages technical expertise in cloud technologies 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 the automation to improve product components or features supported by their team.Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles. Utilizes technical knowledge of systems/platforms and insights drawn from product engineering teams, security best practices, artificial intelligence (AI)/machine learning (ML), and telemetry analyses to suggest potential improvements in code base and designs across components and features of one or more products.Independently writes code or scripts that automate the performance of scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale.Develops alerts and instrumentation across components and features to monitor product capacity, related security risk, 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.Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, security, reliability, performance, and/or efficiency of components and features, leveraging the artificial intelligence (AI) and machine learning (ML) capabilities. 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.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. Proposes changes and drives implementation of solutions to identified performance and resource challenges.Embody our culture and values | |