below marketmost similar roles pay hereabove market
This role pays more than
69%
of similar roles. Most pay
$144,350–$190,000
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$167k
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.
The Senior Software Engineer - Infrastructure joins the Infrastructure team within the Finetuning, Inference and Training group. This role involves designing and automating secure, highly available, and low-latency Kubernetes services that power the Microsoft Foundry platform. You will manage a large fleet of Azure Kubernetes Services, focusing on cluster deployments, security hardening, and observability. Day-to-day responsibilities include developing Infrastructure as Code and Configuration as Code solutions, managing CI/CD deployments, and troubleshooting live-site issues. You will utilize a technical stack including C, C++, C#, Java, JavaScript, Python, Go, or Rust, alongside tools like YAML, Bicep, Helm, Prometheus, Grafana, KEDA, and Istio. The work addresses the technical challenge of delivering global-scale training and inferencing workloads while ensuring network isolation and supply chain security.
What does a Software Engineer earn?
Median $196750 from 2601 postings across 154 companies.
Manage and optimize large-scale Kubernetes clusters with specific focus on CPU and GPU support.
Develop Infrastructure as Code and Configuration as Code solutions using YAML, Bicep, and Helm.
Design and implement secure, high-throughput microservices for the Microsoft Foundry platform.
Configure and maintain security tools for vulnerability scanning, log collection, and compliance hardening.
Automate CI/CD deployments and manage monitoring/alerting systems using tools like Prometheus and Grafana.
Troubleshoot live-site issues and participate in an on-call rotation to ensure production reliability.
Write clean, testable code and lead architectural decisions for platform engineering.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
Extensive experience with Kubernetes cluster creation, management, optimization, and CPU/GPU support.
Expert level knowledge of security and compliance for Kubernetes.
Extensive experience developing Infrastructure as Code (IaC) and Configuration as Code (CaC) using YAML, Bicep, and Helm.
Solid understanding of networking in k8s for inter, intra, and external pod-to-pod, control, and data plane communications.
Ability to meet Microsoft Cloud Background Check requirements.
Master's Degree in Computer Science or related technical field and 6+ years of technical engineering experience (preferred).
Bachelor's Degree in Computer Science or related technical field and 8+ years of technical engineering experience (preferred).
Distributed Systems
Machine Learning Operations
Azure
Kubernetes
CI/CD
Infrastructure as Code
Python
C++
C#
Java
JavaScript
C
Containers
Site Reliability Engineering
Observability
Capacity Planning
Workflow Engines
Orchestration Systems
Kubernetes
Azure
Go
Python
Rust
C++
C#
Java
JavaScript
Bash
Linux
Containers
OTel
Prometheus
Datadog
Elastic
Azure Data Explorer
Kusto
Clickhouse
distributed-systems