Site Reliability Engineer II - CTJ - Top Secret

Office 365 is at the center of Microsoft’s cloud first, devices first strategy as it brings together cloud versions of our most trusted communication and collaboration products like Exchange, SharePoint, Teams with our cross-platform desktop suites and mobile apps. The Office 365 Enterprise Cloud team works with Microsoft’s largest enterprise and government customers to deliver features that meet their specific needs and enable cloud adoption. As one would expect, our customers have the highest expectations for feature quality, security, reliability, availability, and performance.

The engineering team provides leadership, direction and accountability for application architecture, system design, and end-to-end implementation. As a Software Engineer - CTJ - Poly, you will identify and deliver software improvements using your expertise in software development, complexity analysis, scalable system design, and collaboration skills will be required to work closely with other engineering teams to ensure services/systems are highly stable and performant, meeting the expectations of our government customers and users.

Responsibilities

Contributions to Development and Design

• Independently 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 the availability, security, quality, observability, reliability, efficiency, observability, and performance of 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.

Driving Operational Excellence

• Leverages technical expertise and telemetry analysis alongside advanced artificial intelligence (AI) and machine learning (ML) algorithms 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.
• 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.
• Shares insights and best practices via documented artifacts 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.
• 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 cod