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Graph Researcher II

Microsoft

Graph Researcher II

Microsoft

India, Telangana, Hyderabad

·

On-site

·

Full-time

·

2w ago

Required Skills

Graph theory

Python

Machine learning

Statistical modeling

Malware analysis

Threat hunting

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-
Design and maintain scalable threat graphs that model entities such as devices, identity, threat actors, TTPs, infrastructure, and campaigns.

  • Execute advanced research to develop algorithms and heuristics to detect malicious patterns and relationships within graph data on emerging cloud-based threats impacting Microsoft and third-party security products across heterogeneous cloud environments.

  • Collaborate with threat protection researchers, data scientists, and detection engineers to enrich graph models with contextual insights and refine detection and response strategies, to provide comprehensive threat coverage and response capabilities.

  • Research and prototype novel graph-based techniques for threat detection, attribution, and prioritization in collaboration with internal and external security teams.

  • Translate complex raw security data into actionable graph intelligence that enhances the effectiveness of security operations for a global customer base.

  • Mentor, guide, and drive best practices among researchers and detection engineers on advanced graph-based threat hunting and incident response across diverse ecosystems.

  • Contribute to industry knowledge and Microsoft’s security posture by publishing research, developing threat graph models, and proactively identifying threats and attack trends in the cloud.

Qualifications-
Strong understanding of graph theory, graph databases (e.g., Neo4j, Tiger Graph), and graph analytics with proficiency in Python or similar languages for data analysis and prototyping.

  • Experience working with large-scale datasets, distributed systems and graph analytics projects.

  • Ability to translate complex threat data into graphs and actionable insights.

  • Experience with machine learning or statistical modelling applied to graph data.

  • Proven ability to execute advanced research on emerging cloud-based threats affecting both Microsoft and third-party security products across heterogeneous cloud environments.

  • Knowledge of adversary infrastructure tracking, malware analysis, or campaign clustering.

  • Extensive hands-on experience with cloud platforms—including, but not limited to, Azure—as well as a deep understanding of multi-cloud security challenges and solutions.

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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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Junior/L3

Mid/L4

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience