Microsoft Site Reliability Engineer II 

Taiwan, Taoyuan City 

579514986

Site Reliability Engineer II - (Microsoft 365 Enterprise + Cloud)

with the right mix of systems engineering, data science, software development, AI, on-line services experience, and passion for quality to envision, design, and deliver Microsoft 365 (M365) Enterprise + Cloud service offerings.

We try not to have too many formal qualifications, since mind-set and demonstrated ability are more important, but previous successful candidates have often had some or all of the following:

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• 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.

Technical Knowledge and Domain-Specific Expertise

• A core attribute we are looking for is an individual with strong aptitude for problem-solving, coupled with a proven track record in debugging complex systems and applications, showcasing an analytical mindset and meticulous attention to detail
• Researches and maintainsdeep 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.
• Contributions to Development and Design
• 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.

Driving Operational Excellence

• 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.
• more experienced Site Reliability Engineers (SREs) and members of product engineering teams. Mentors and coaches less experienced engineers to help them identify and propose relevant solutions.