Site Reliability Engineer II

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $102,100–$202,200 / yr
Posted: 71 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k

This role $152k

$89k most similar roles pay here $227k

This role pays less than 66% of similar roles. Most pay $142,400–$202,812 — the shaded band above. At the midpoint, this role pays about $152k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Site Reliability Engineer II

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Join the Security & Compliance team within Microsoft’s M365 Sovereign Clouds organization as a senior engineer, where you will work on distributed systems at massive scale, automating operations, and building disaster recovery capabilities for highly regulated sovereign cloud environments. Your day-to-day responsibilities include responding to incidents during on-call rotations, writing scripts to automate scalable processes, designing telemetry pipelines, troubleshooting issues using AI/ML, deploying changes through a safe deployment process, and sharing insights with product engineering teams. You will need expertise in languages such as C#, Java, JavaScript, or Python, experience with large-scale cloud systems, and an active TS/SCI clearance. This role offers the opportunity to work on complex security challenges that protect millions of messages and documents daily, ensuring reliable and high-performance services for critical customers.

Skills

Python JavaScript C# Java Kubernetes Docker Terraform AWS Azure CI/CD Prometheus Grafana PostgreSQL SQL AI ML Telemetry SRE DevOps

What you'll do

Responds to incidents during on-call rotations, troubleshooting issues and deploying fixes.
Writes code or scripts to automate scalable operations processes across product components.
Designs and maintains telemetry pipelines for monitoring product component metrics.
Troubleshoots problems affecting availability, security, reliability, performance of features.
Creates, tests, and deploys changes through a safe deployment process to enhance observability.
Shares insights and best practices via documented artifacts to improve system development.

What we're looking for

Master's in Computer Science or related field with 3+ years of coding experience.
Bachelor's in Computer Science or related field with 5+ years of coding experience.
At least 2 years of technical experience working with large-scale cloud or distributed systems.
Proficiency in programming languages such as C, C++, C#, Java, JavaScript, or Python.
Active TS/SCI clearance and willingness to upgrade to TS/SCI with polygraph.
Strong problem-solving skills for troubleshooting complex issues.

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