M

Microsoft

Develops software, OS, and cloud services

Software Engineer 2 - Data Intelligence

Full-TimePosted on 7/7/2026
$102.1k - $219.2k/yr
Junior, Mid
Bachelor's
Redmond, WA, USA
HybridThree days on-site per week required.
Applied Machine Learning, Software Engineering
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience.
Responsibilities
  • Develop and maintain features for AI-driven network and security intelligence solutions.
  • Contribute to building and enhancing machine learning models and Generative AI agents with guidance from senior team members.
  • Build and support data engineering pipelines using technologies such as Spark, Synapse/ADF, Azure Data Explorer (Kusto), and Fabric.
  • Collaborate with cross-functional teams, including network engineers and data scientists, to integrate AI/ML solutions into Microsoft’s network infrastructure.
  • Troubleshoot live-site issues and participate in the DRI (Designated Responsible Individual) rotation.
  • Help ensure the scalability, reliability, and performance of AI, ML, and data solutions.
  • Write clean, testable, well-documented code and participate in code reviews.
  • Apply security, privacy, and compliance best practices throughout the development lifecycle.
  • Stay current with advancements in AI, ML, and data engineering technologies.
Desired Qualifications
  • 1+ years experience building data solutions, including databases (SQL/No-SQL) and ETL / data pipelines using cloud services, OR equivalent experience
  • Experience with the Azure Big Data stack (Data Lake, Spark, Hadoop) and distributed processing such as Apache Spark, Azure Data Factory (or Synapse), or equivalent.
  • Experience with Azure, REST APIs, and Web Apps OR equivalent.
  • Experience building and/or applying machine learning solutions.
  • Familiarity with LLMs, SLMs, skills and agents
  • Familiarity with network engineering concepts.

About the company

Microsoft develops software, devices, and cloud services. Windows is an operating system that runs on personal computers, Office provides productivity apps, and Azure offers cloud computing and developer tools. The company differentiates itself with a large, integrated ecosystem of software, devices, and services, plus long-standing partnerships with PC makers and a broad enterprise footprint. Its goal is to put a computer on every desk and in every home, and to extend that reach through cloud services, professional networking (LinkedIn), and gaming.

Company Size

10,001+

Company Stage

IPO

Headquarters

Redmond, Washington

Founded

1975

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Simplify Jobs

Simplify's Take

What believers are saying

  • Microsoft AI business reached $37 billion ARR in Q3 FY2026, up 123%.
  • Microsoft 365 Copilot surpassed 30 million paid seats in FY2026, expanding monetization.
  • LinkedIn revenue grew 12% in FY2026, adding resilient cash flow outside cloud.

What critics are saying

  • Copilot adoption disappointment triggered January 2026 lawsuits over misleading Azure and AI claims.
  • Senior exits continue, including Roslansky and Peter Lee, signaling leadership instability into 2026.
  • GitHub Copilot’s usage-based billing exposes customers to higher AI costs and churn risk.

What makes Microsoft unique

  • Azure exceeded $100 billion in FY2026, pairing cloud scale with enterprise distribution.
  • Microsoft Cloud reached $214 billion in FY2026, anchored by Office, GitHub, and Dynamics.
  • Security Copilot customers doubled year over year, reinforcing Microsoft’s integrated security stack.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Professional Development Budget

Conference Attendance Budget

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 0%

2 year growth

↑ 0%
Yahoo Finance
Oct 12th, 2026
Palihapitiya and Musk say power and cooling are AI's real limits as Microsoft pushes own chips

Venture capitalist Chamath Palihapitiya said power and physical infrastructure could be the lasting constraints in the AI race. He posted on X on Monday, after Microsoft announced its own silicon chips. Palihapitiya wrote that chipmakers will move up the stack while application companies move down it, so "everyone competes with everyone." He asked whether distribution, a data moat, or a physical limit such as power would support long-term margins. Elon Musk replied that scaling power, fast construction, cooling, networking, and batteries "is hard." Microsoft chief executive officer Satya Nadella said the company will scale its Maia chips to multi-gigawatt deployments starting next year. He said the Maia 300 delivers 40% more tokens per watt than leading GPU-based systems.

Fortune
Oct 12th, 2026
Microsoft science president Peter Lee to join Mercedes F1 team as AI advisor

Peter Lee, who recently announced his departure as president of Microsoft Science, plans to join the Mercedes Formula 1 team as an AI advisor, he told Fortune. The role is newly created, and his title is still under discussion. Lee spent 16 years at Microsoft. At Mercedes, he will use AI to tackle car physics problems, break down data silos, build financial and predictive models, and advise on how regulators might govern AI in the sport. He is expected to sign a one-year contract with an option for a second. "I have always wanted to be a racer," Lee said. His exit follows other Microsoft departures this year, including Ryan Roslansky and Frank X. Shaw.

Bloomberg
Oct 12th, 2026
Microsoft unveils homegrown Maia chips as Musk targets 10 new AI chip designs a year

Microsoft has unveiled its latest homegrown Maia chips, part of an effort to rely less on outside semiconductor makers for its AI ambitions, Bloomberg reports. Elon Musk, meanwhile, wants to speed up chip development by testing as many as 10 new designs a year. Apple is also set to unveil its new smart home strategy, which seeks to fill a major gap in its ecosystem.

Finance Times Gazette
Oct 12th, 2026
micro1 passes $1B annual run rate, stays profitable and prices Series B at $4B valuation

micro1, a San Francisco data lab that trains frontier AI models and evaluates agents, said it has passed $1 billion in annual run rate while staying profitable. It also priced a Series B at a $4 billion valuation. Dream Ventures, one of its earliest investors, led the round. Microsoft, Javelin, Flybridge, G Squared, Up Partners, and LG also took part. A tender offer of about $25 million lets early employees sell shares. The company passed $500 million in annual run rate this summer. About three years ago, it lost 60% of its revenue overnight and nearly went bankrupt. micro1 has a fully remote core team of about 180 people across more than 14 countries. It plans to slow headcount growth significantly while expanding data generation and training environments.

Yahoo Finance
Oct 12th, 2026
Microsoft unveils Maia 300 AI chip with 40% more tokens per megawatt, targeting Nvidia and AMD

Microsoft has unveiled the Azure Maia 300, its latest AI chip, as it seeks to rely less on processors from Nvidia and AMD. It debuted at the OCP Global Summit 2026 in San Jose on Monday. The Maia 300 will join the Maia 200 and Maia 100 in multi-gigawatt deployments starting next year. Microsoft says the chips will become the "primary AI inference system for Microsoft products and services." The company says the Maia 300 delivers 40% more tokens per megawatt than leading GPU-based systems. A 96-chip rack offers seven times the token throughput of the Maia 200. Amazon, Google, Meta, OpenAI, and Anthropic also offer or are building custom chips. Even so, hyperscalers will likely keep buying Nvidia's chips, which remain the most in demand.

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