| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $102,100–$202,200 / yr
Posted: 66 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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The Microsoft AI – Bing Places Data team is hiring a Software Engineer II to drive the adoption of Location, Places, and POI data for Copilot and Bing Search experiences. This role involves collaborating with product managers and technical leads to understand user requirements and design scalable solutions that align with security and compliance standards. Day-to-day responsibilities include coding maintainable software, developing robust test plans, and integrating telemetry to ensure reliability and accessibility. The ideal candidate will have experience in big data systems like Spark/PySpark, cloud services, and debugging complex issues across client-server layers. This position offers the opportunity to work on large-scale interactive data analytics, machine learning models, and service engineering to extract rich content from hundreds of millions of location entities globally.

Skills

Python Spark PySpark Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL Azure AWS Git REST JSON Swagger/OpenAPI GraphQL OAuth JWT Scalability Security Compliance

What you'll do

- Understand user requirements by collaborating with product managers and technical leads.
- Contribute to solution architecture and create aligned design documents.
- Implement maintainable, extensible code and participate in engineering reviews.
- Develop and refine test plans for backend services and integrate automation.
- Integrate telemetry and improve tools to ensure compliance and reliability.

What we're looking for

Extensive experience in large-scale interactive data analytics and scalable map-reduce compute.
Proficiency in machine learning, AI, and LLM models development and integration.
Strong background in service and data engineering, including security and compliance.
Experience with cloud services and big data systems like Spark/PySpark or stream processing.
Ability to design, implement, and maintain high-quality software systems and architectures.

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