This role pays more than
70%
of similar roles. Most pay
$149,350–$195,200
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$172k
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
557 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 537 roles with salary data.
As a Senior Software Engineer - CoreAI on the Azure Functions Platform team, you will design, build, operate, and maintain core platform components and distributed systems. You will manage the full lifecycle of services, focusing on reliability, performance, scalability, security, and cost efficiency while developing tools for automated deployments and incident response. The role involves solving complex distributed-systems and platform-engineering problems to support the execution of customer workloads within a serverless computing environment. Candidates should possess experience in coding with languages such as C, C++, C#, Java, JavaScript, or Python. Preferred qualifications include expertise in cloud services, containers, Kubernetes, and troubleshooting production issues using logs, metrics, traces, and telemetry. You will collaborate across teams to define requirements, conduct architecture reviews, and mentor others while ensuring the operational maturity of this rapidly growing cloud service.
What does a Software Engineer earn?
Median $196000 from 2031 postings across 144 companies.
Design, implement, test, and ship platform capabilities and services for Azure Functions.
Build and maintain large-scale distributed systems focused on reliability, scalability, performance, and security.
Manage the full lifecycle of services including deployment, monitoring, incident response, and troubleshooting.
Use telemetry, logs, and metrics to proactively identify issues and improve production health.
Resolve complex technical issues in running online services across multiple components or dependencies.
Develop platform tooling and automation for safe deployments, regression detection, and operational readiness.
Contribute to architecture reviews, code reviews, and the definition of engineering standards.
Mentor other engineers and strengthen engineering practices across the team.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent).
Ability to pass the Microsoft Cloud background check.
2+ years of experience designing, building, operating, or maintaining distributed systems or cloud services (preferred).
Experience developing and maintaining platform or infrastructure components for large-scale online services (preferred).
Experience with public cloud platforms such as Azure, AWS, or Google Cloud (preferred).
Experience with containers and orchestration technologies such as Kubernetes (preferred).
Experience improving service reliability, performance, scalability, diagnosability, and operational efficiency (preferred).
Experience with modern software engineering practices, troubleshooting production issues, and collaborating across teams (preferred).
Azure
Python
C++
C#
Java
JavaScript
C
Machine Learning
Distributed Systems
CI/CD
DevOps
Azure OpenAI
Azure ML
Azure AI Studio
Software Architecture
SDLC
Telemetry
Azure
Python
C#
Java
C++
Distributed Systems
Microservices
REST APIs
CI/CD
Kusto
Cosmos DB
Performance Engineering
Telemetry
Automation
Source Control
Agile
Storage Systems
Firmware
Networking
Operating Systems