| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $100,600–$199,000 / yr
Posted: 59 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $150k

$85k most similar roles pay here $251k

This role pays less than 82% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $150k versus about $180k for comparable roles.

Based on 239 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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We are seeking a Software Engineer to join our Microsoft Copilot Studios team, where you will contribute to the development of microservices that enable near real-time data insights. In this role, you will work on building and maintaining scalable cloud services with a focus on performance, resiliency, telemetry, and security. You will also have the opportunity to create AI-centric experiences and conduct experiments to evaluate AI effectiveness in enhancing product improvements. The ideal candidate has 2+ years of industry experience in service development and a strong background in Azure or other scalable cloud platforms. Familiarity with generative AI and experience in building robust, secure systems is highly preferred as you will be part of a team tackling large-scale data management challenges within Microsoft’s innovative Copilot Studios platform.

Skills

Azure Python Docker Kubernetes CI/CD PostgreSQL Redis AWS Terraform Prometheus Grafana GraphQL OpenAPI Swagger

What you'll do

Design and develop microservices for near real-time data insights.
Implement scalable applications using Azure or similar cloud platforms.
Conduct experiments to evaluate the effectiveness of generative AI in products.
Create robust, resilient, and secure services with comprehensive telemetry.
Ship multiple releases of services successfully in a production environment.

What we're looking for

2+ years of industry experience in service development and shipping multiple releases.
Strong background in building scalable applications and services on Azure or similar cloud platforms.
Experience with AI-centric systems and generative AI for product improvements.
Familiarity with creating robust, resilient, secure, and well-monitored microservices.
Conducting experiments to evaluate the effectiveness of AI in enhancing products.

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