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求人Microsoft

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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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

3.8

5件のレビュー

ワークライフバランス

4.1

報酬

4.3

企業文化

3.4

キャリア

3.2

経営陣

3.0

65%

友人に勧める

良い点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

改善点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

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

面接体験

1件の面接

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

Culture Fit