below marketmost similar roles pay hereabove market
This role pays more than
56%
of similar roles. Most pay
$188,350–$242,524
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$215k
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
648 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
As a Principal Software Engineer - AI Systems Observability, you will join the Azure Core Upstream Observability team to build open-source technologies for Kubernetes and Linux environments. You will lead the design and delivery of agentic observability capabilities, turning customer needs into coherent architectures and production-quality solutions. Your daily work involves mentoring engineers, performing hands-on implementation, and managing project plans across multiple groups. You will use C, C++, Go, Python, or Rust to collect and interpret systems signals using Linux kernel and extended Berkeley Packet Filter (eBPF) techniques. The role focuses on creating safe, observable, and evaluable agentic workflows by providing rich systems telemetry. You will solve complex problems regarding reliability and performance in cloud-scale distributed systems while supporting upstream communities and maintaining operational excellence.
What does a Software Engineer earn in Remote?
Median $208800 from 367 postings across 50 companies.
Determine user requirements for agentic observability scenarios across Kubernetes and Linux environments.
Develop design documents for products and platforms that support safe, observable, and evaluable agentic workflows.
Perform hands-on implementation, code review, testing, debugging, and maintenance of extensible and maintainable code.
Collect, correlate, and interpret systems signals using Linux kernel and eBPF techniques.
Serve as a Designated Responsible Individual (DRI) to monitor systems and participate in on-call rotations.
Drive project plans, release plans, and work items across multiple groups and stakeholders.
Identify technical dependencies and patterns to improve system availability, reliability, and performance at scale.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in C, C++, Go, Python, or Rust.
Equivalent experience to the required degree and years of experience.
Ability to pass the Microsoft Cloud Background Check.
Master's Degree in Computer Science or related technical field and 8+ years of technical engineering experience with coding in C, C++, Go, Python, or Rust (preferred).
Bachelor's Degree in Computer Science or related technical field and 12+ years of technical engineering experience with coding in C, C++, Go, Python, or Rust (preferred).
Experience designing and operating at least one production Kubernetes/Linux observability or distributed-systems capability (preferred).
Experience building or operating at least one tool-using AI-agent system in a production-like environment with documented evaluation and safety controls (preferred).
Experience leading adoption of a shared technical architecture by at least two engineering teams or authoring a design accepted by an upstream open-source project (preferred).
Python
C++
C#
Java
Go
JavaScript
C
Generative AI
Machine Learning
Distributed Systems
Cloud Services
System Design
Observability
Security
Privacy
Compliance
Python
C++
C#
Java
Go
C
JavaScript
Distributed Systems
Machine Learning
Artificial Intelligence
Cloud Services
System Design
Observability
Scalability
Security
Privacy
Compliance