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职位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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关于Microsoft

Microsoft

Microsoft

Public

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

10,001+

员工数

Redmond

总部位置

$3000B

企业估值

评价

3.8

5条评价

工作生活平衡

4.1

薪酬

4.3

企业文化

3.4

职业发展

3.2

管理层

3.0

65%

推荐给朋友

优点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

缺点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

薪资范围

5,620个数据点

Senior/L5

Senior/L5 · Account Management

5份报告

$209,483

年薪总额

基本工资

$181,941

股票

-

奖金

-

$194,895

$209,483

面试经验

1次面试

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit