| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $102,100–$202,200 / yr
Posted: 32 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $152k

$86k most similar roles pay here $251k

This role pays less than 70% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $152k 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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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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We are seeking a Software Engineer 2 to join our Responsible AI team, where you will play a pivotal role in developing customer-facing AI services with robust architecture. Your day-to-day responsibilities include designing large-scale distributed cloud systems that ensure high availability and scalability, collaborating with subject matter experts to drive project development, and upholding modern software engineering practices through code reviews. You will also stay abreast of cutting-edge technologies to enhance the customer experience. Ideal candidates have 2+ years of experience in delivering highly available cloud services and distributed systems, along with a strong background in machine learning model development and DevOps culture. Familiarity with AI tools across the software lifecycle is essential, as well as expertise in areas such as safety governance platforms, inference systems, deployment automation, and multimodal safety infrastructure.

Skills

Python Java Kubernetes Docker CI/CD AWS Azure GCP PostgreSQL MySQL Redis Prometheus Grafana Terraform Ansible Git Jenkins Kafka GraphQL

What you'll do

Design and develop large-scale distributed cloud services with a focus on high availability.
Lead project development by working with subject matter experts and stakeholders.
Drive modern software engineering practices through code and design reviews.
Stay updated with current technologies to enhance customer experience.
Develop machine learning models, ensuring their release and operations are robust.

What we're looking for

2+ years of experience designing and delivering highly available, large-scale cloud services.
Expertise in machine learning model development, release, and operations.
Deep understanding of software architecture and mature DevOps practices.
Proficiency with AI tools and practices throughout the SDLC.
Experience in safety and governance platforms for AI models and agents.
Knowledge of deployment automation, CI/CD, and compliance tooling.

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