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지금 많이 보는 기업

지금 많이 보는 기업

Microsoft
Microsoft

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

Principal Software Engineer

직무엔지니어링
경력Staff+
위치India, Karnataka, Bangalore
근무오피스 출근
고용정규직
게시1주 전
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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 소개

Microsoft

Microsoft

Public

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

10,001+

직원 수

Redmond

본사 위치

$3000B

기업 가치

리뷰

10개 리뷰

4.4

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.3

커리어

3.8

경영진

4.0

82%

지인 추천률

장점

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

단점

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

연봉 정보

5,620개 데이터

Senior/L5

Senior/L5 · Account Management

5개 리포트

$209,483

총 연봉

기본급

$181,941

주식

-

보너스

-

$194,895

$209,483

면접 후기

후기 1개

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge