Site Reliability Engineer II

• Researches and maintains deep knowledge of industry trends as well as advances in large-scale distributed systems and cloud technologies
• identifies opportunities to create, implement, and/or optimally utilize new tools, technologies, and/or processes to solve ambiguous problems and improve product availability, reliability, efficiency, observability, and/or performance
• Drives the adoption of innovative solutions across engineering teams working with related products within an organization
• Apply advanced statistical and machine learning techniques to analyze large datasets and extract meaningful insights
• Experience working with all service aspects of high throughput and multi-tenant services, ability to understand and design workflows carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability
• Engages with product engineering teams by partaking in code/design reviews, participating in on-call rotations and incident responses throughout product development and operations cycles
• leverages end-to-end technical expertise on underlying systems/platforms and insights from engagements with product engineering teams and telemetry analyses to propose scalable improvements in code and designs with attention to customer/business objectives and incident prevention
• Develops code, scripts, systems, or platforms that automate moderately complex but repetitive operations processes (e.g., monitoring, alerting, deploying products and updates, debugging) at scale
• reviews existing automation code and scripts to evaluate reusability, extendibility, and scalability within an organization
• Analyzes data from telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of systems, platforms, or products operating at scale
• Contributes to the development of new tooling and/or predictive models to identify and test potential improvements in product development and/or operations and monitors the impact of changes on operations metrics (e.g., Time-to-X) within an organization
• Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting complex issues, and deploying appropriate fixes to resolve root cause(s)
• alerts product teams, owners, and leadership to issues with major customer/business impact and escalates resolution of the overly complex, ambiguous, and impactful issues to include other engineering teams and/or subject matter experts as needed
• Shares details related to incidents and their resolution through post-mortem reports and during regular review meetings
• Mentors and coaches less experienced engineers to help them identify and propose relevant solutions

• Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• Mid-level years of software development: automation-related experience is most valued
• Scripting languages such as bash, python, and PowerShell, or compiled languages such as C, C# are most relevant, but others are acceptable
• Awareness of, and ability to reason about, modern software & systems architectures, including load-balancing, queueing, caching, distributed systems failure modes, microservices, and so on
• Associated troubleshooting skills, including the ability to follow RPC (Remote Procedure Call) call-chains across arbitrary network steps
• Consequent understanding of monitoring in distributed systems
• Deep understanding of operating system level concepts such as processes, memory allocation, and the network stack
• understanding of how applications are affected by the above, and ability to debug same
• Experience with working in a team, including coordinating large projects, communicating well, and exercising initiative when presented with problems
• Practical experience running large scale online systems is always an advantage
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND mid-level technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience