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트렌딩 기업

트렌딩 기업

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채용Microsoft

Software Engineer II

Microsoft

Software Engineer II

Microsoft

India, Telangana, Hyderabad; India, Karnataka, Bangalore

·

On-site

·

Full-time

·

1w ago

Overview

The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust.

Responsibilities

Job Responsibilities:

  • Design and build scalable data platforms and pipelines to process large-scale datasets across distributed systems.
  • Develop data processing and analytics solutions to derive insights from complex and high-volume data.
  • Build and maintain batch and streaming pipelines using modern data technologies (e.g., Spark, Kafka).
  • Design and implement graph-based data models, enabling efficient representation of relationships across entities.
  • Develop graph traversal and relationship analysis logic to support advanced querying and insights (e.g., multi-hop analysis, entity linking).
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Ensure data quality, reliability, and performance in production systems.
  • Drive end-to-end ownership from system design and implementation to deployment and monitoring.

Qualifications

  • 5+ years of experience in software engineering, data engineering, or related roles.
  • Strong fundamentals in data structures, distributed systems, and data modeling (including graph modeling concepts).
  • Hands-on experience with big data technologies (e.g., Spark, Kafka, distributed storage systems).
  • Proficiency in Python and SQL.
  • Experience building scalable batch and/or streaming pipelines.
  • Familiarity with graph processing frameworks or graph databases (e.g., Graph Frames, Neo4j, Tiger Graph, NetworkX).
  • Understanding of graph traversal techniques (e.g., BFS/DFS, multi-hop queries, relationship aggregation).
  • Experience working with large datasets and optimizing performance (joins, partitioning, skew handling).
  • Experience with cloud platforms (Azure/AWS/GCP) is a plus.

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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모의 지원자 수

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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

3.8

5개 리뷰

워라밸

4.1

보상

4.3

문화

3.4

커리어

3.2

경영진

3.0

65%

친구에게 추천

장점

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

단점

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

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 경험

1개 면접

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

Culture Fit