| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 73 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k 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.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Software Engineer on the Microsoft Dynamics Customer Experience Applications team, you will design and implement intelligent solutions within Dynamics 365 Contact Center, an AI-first platform that powers global contact centers. You’ll collaborate closely with cross-functional teams to deliver high-impact features, integrating advanced AI models and enhancing existing functionalities to meet evolving customer needs. Your daily tasks include translating business requirements into technical solutions, optimizing AI model performance in production, and ensuring the reliability and scalability of applications through DevOps practices. Key skills required are expertise in C#, Azure, and experience with MLOps workflows, including CI/CD pipelines and monitoring systems. This role involves working on cutting-edge technologies to solve complex business challenges for large-scale 24x7 SaaS applications.

Skills

Azure C# Docker MLOps CI/CD Python PostgreSQL Kubernetes Terraform GenAI Large Language Models Speech-to-Text services DevOps Prometheus Grafana

What you'll do

Design and develop scalable application capabilities integrating AI models to meet customer needs.
Translate business requirements into technical solutions by collaborating with data scientists and product managers.
Optimize AI model performance in production environments through retraining and continuous monitoring.
Own deployment of AI systems using automated testing, CI/CD pipelines, and DevOps practices.
Troubleshoot live site issues during product development and support rotations to ensure rapid resolution.

What we're looking for

4+ years of experience in coding, debugging, and problem-solving.
Deep expertise in AI domains with proven deployment and scaling of AI models in cloud environments.
Experience with MLOps workflows including CI/CD, monitoring, and retraining pipelines.
Strong skills in building and operating infrastructure using Azure or similar cloud platforms.
Proficiency in developing production-grade code for distributed systems using C#.
Familiarity with modern LLMOps frameworks and practices.

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