Software Engineer II

Microsoft

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Redmond, WA
Salary: $102,100–$202,200 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Closes: Apr 21, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $145k

This role $152k

$90k $214k

below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $121,750–$169,050 — the blue band above. At the midpoint, this role pays about $152k versus about $145k 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Software Engineer II

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The Software Engineer II joins the Observability Intelligent Cloud group to develop Data Processing and Analytic services for the Substrate platform. Working with senior engineers, you will implement, test, deploy, and maintain well-scoped components of large-scale data platform services. Your daily responsibilities include building scalable software components, pipelines, APIs, and automation for processing large datasets with low latency. You will contribute to AI and LLM-enabled platform experiences to help teams analyze service data and improve engineering productivity. Required skills include proficiency in coding languages such as C, C++, C#, Java, JavaScript, or Python. You must demonstrate expertise in distributed systems, data pipelines, telemetry processing, and production engineering. The role focuses on solving complex problems in real-time event processing and AI-powered data lifecycle management.

What does a Software Engineer earn in Washington?

Median $202800 from 409 postings across 38 companies.

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Skills

Python C# Java C++ JavaScript C LLM Machine Learning Distributed Systems Data Pipelines APIs Telemetry Unit Testing Integration Testing Observability Cloud Services Data Analytics Workflow Automation

What you'll do

Implement, test, deploy, and maintain well-scoped software components for data platform infrastructure and APIs.
Build scalable, high-performance software components to process large datasets with low latency and high availability.
Develop AI and LLM-enabled platform experiences to analyze service data and improve engineering productivity.
Create data pipelines, frameworks, and automation tools using artificial intelligence and machine learning.
Apply strict data privacy, security, and responsible AI standards to all day-to-day engineering tasks.
Improve platform quality by adding tests, monitoring, dashboards, and documentation for live-site readiness.
Participate in design discussions and code reviews to ensure high-quality software architecture and reliability.

What we're looking for

Bachelor's Degree in Computer Science or related technical field and 2+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
Ability to pass the Microsoft Cloud background check upon hire and every two years thereafter.
Master's Degree in Computer Science or related technical field and 3+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Bachelor's Degree in Computer Science or related technical field and 5+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Experience designing, building, testing, and operating cloud services, distributed systems, data pipelines, telemetry processing, or large-scale data systems (preferred).
Experience with AI, machine learning, LLM-based workflows, data analytics, service intelligence, automation, time-series data, or production engineering systems (preferred).
Experience applying quality engineering practices such as unit testing, integration testing, code reviews, observability, secure coding, and operational readiness (preferred).
Demonstrated ability to deliver well-scoped feature work and contribute to small to medium-sized projects (preferred).

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