below marketmost similar roles pay hereabove market
This role pays more than
63%
of similar roles. Most pay
$149,500–$200,620
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$175k
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
676 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 630 roles with salary data.
The Senior Security Software Engineer joins the Microsoft AI Red Engineering Team to provide critical infrastructure support for engineers, researchers, and red teamers. You will own building and operating secure, reliable Azure GPU infrastructure, specifically focusing on deploying and troubleshooting distributed training and reinforcement-learning environments for long-running research workloads. Key responsibilities include designing multi-node, multi-GPU training environments, building fleet-level automation, and developing infrastructure-as-code for drift detection and remediation. You must possess technical engineering experience with languages such as C, C++, C#, Java, JavaScript, or Python. The role requires expertise in cloud infrastructure, containers, CI/CD, and monitoring to solve complex security and reliability tradeoffs within AI systems. You will translate ambiguous research requirements into production-ready solutions to support the identification of risks in AI systems.
Design, deploy, and troubleshoot secure distributed AI infrastructure for multi-node, multi-GPU training and reinforcement-learning environments.
Build fleet-level automation and infrastructure-as-code for remediation, repeatable configuration, and drift detection.
Develop technical designs and production-ready solutions from ambiguous research and infrastructure requirements.
Partner with stakeholders to clarify requirements and prioritize high-impact infrastructure solutions.
Drive alignment across teams on infrastructure architecture, security tradeoffs, and delivery dependencies.
Create automation to enable rapid deployment and operation of AI models and supporting infrastructure.
Perform design and code reviews and provide technical mentoring to peers.
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.
Verification of citizenship is required due to legal restrictions regarding government agency customers.
Must provide proof of citizenship, U.S. permanent residency, or other protected status for export control regulations.
Ability to pass Microsoft and Microsoft Cloud background checks every two years.
Experience designing, deploying, and operating cloud infrastructure, including distributed, multi-node, multi-GPU training environments (preferred).
Experience developing software and automation for production systems (preferred).
Experience deploying and operating AI infrastructure in Azure, including GPU-backed compute and platforms like Azure AI Foundry (preferred).
Experience with containers, infrastructure-as-code, CI/CD, monitoring, and observability (preferred).
Azure AI
Python
C++
C#
Java
JavaScript
C
Azure OpenAI
Azure ML
CI/CD
DevOps
Distributed Systems
Machine Learning
Azure AI Studio
Azure AI Content Safety
Software Development Lifecycle
Observability
Telemetry
Python
Go
Java
LLM
Agentic Systems
CI/CD
Distributed Systems
gRPC
Linux
Bash
Containerization
Dynamic Analysis
Taint Analysis
Artifact Signing
Data Pipelines