トレンド企業

Microsoft
Microsoft

Empowering every person and organization on the planet to achieve more.

Principal Software Engineer

職種エンジニアリング
経験Staff+
勤務地India, Karnataka, Bangalore
勤務オンサイト
雇用正社員
掲載2週間前
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Overview

We are the Azure AI Inferencing team, part of the CoreAI Foundry business that builds and runs the model-serving platform including, but not limited to, large OpenAI generative models. This team is at the forefront of delivering this innovation with massive scale powering every Azure OpenAI customer and scenario in the industry, both 3P and 1P customer like Bing and Office and solve exciting problems on the intersection of AI and Cloud.

We are looking for a seasoned Software Engineer, who is passionate about designing and building highly reliable, available platform to support model inferencing at the scale of billions of requests per day. You will be working on high throughput/low latency scenarios and drive performance optimization capabilities.

Microsoft is leading the AI strategy with an ambitious mission to democratize AI, make it an essential ingredient for delivering breakthrough customer experiences and to ensure the benefits of AI reach every person and organization on the planet, safely and responsibly. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Responsibilities Responsibilities :

  • Lead architecture and design of complex, distributed systems; make key technical decisions and mentor engineers on design tradeoffs and best practices.

  • Own solution quality end‑to‑end, including test strategy, security testing, reliability, and operational readiness.

  • Drive cross‑team collaboration, identifying dependencies, resolving conflicts, and aligning delivery plans across partner teams.

  • Act as DRI for live systems, leading incident response, root‑cause analysis, and prevention through automation and operational improvements.

  • Champion security, privacy, compliance, and Responsible AI, establishing security invariants, auditability, and monitoring across the system.

  • Lead automation and deployment excellence, enabling scalable, zero‑touch deployments with safe rollout and rollback strategies.

  • Raise engineering standards, through code reviews, production-grade telemetry, performance/scalability improvements, and mentoring others.

Qualifications Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent industry experience.

  • 15+ years of professional software development experience, building and operating complex systems.

  • Strong foundations in computer science fundamentals, including algorithms, data structures, systems design, and coding proficiency.

  • Proven experience in architecture and design of large-scale software systems, including making sound technical decisions and tradeoffs.

  • Demonstrated expertise in software engineering lifecycle, including design, development, testing, quality assurance, deployment, and live-site operations.

  • Strong problem-solving, systems thinking, and decision-making skills with high attention to detail.

  • Experience collaborating across teams, handling technical dependency management and conflict resolution.

  • Excellent oral and written communication skills in English, with the ability to clearly explain complex technical concepts.

Preferred Qualifications

  • Experience operating real-time, high-throughput, low-latency services in production environments.

  • Hands-on experience designing, implementing, testing, and operating Azure AI or large-scale cloud services, meeting performance, scalability, reliability, and compliance requirements.

  • Experience driving or contributing to engineering efficiency tools or developer productivity improvements.

  • Exposure to security, compliance, and operational best practices for cloud-based or AI-driven services.

#AIPlatform #Distributed Systems #Cloud Scale #Model Serving

Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Microsoftについて

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

従業員数

Redmond

本社所在地

$3000B

企業価値

レビュー

10件のレビュー

4.4

10件のレビュー

ワークライフバランス

3.2

報酬

4.1

企業文化

4.3

キャリア

3.8

経営陣

4.0

82%

知人への推奨率

良い点

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

改善点

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

給与レンジ

5,620件のデータ

Senior/L5

Senior/L5 · Account Management

5件のレポート

$209,483

年収総額

基本給

$181,941

ストック

-

ボーナス

-

$194,895

$209,483

面接レビュー

レビュー1件

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge