Google Hiring: Cyber Security and Applied AI Engineering Analyst, Chrome Platform Security 2026:-
Google is looking for a Cyber Security and Applied AI Engineering Analyst to join its Chrome Platform Security and Trust & Safety teams in Hyderabad, Telangana.
| Company: | |
| Job Title: | Cyber Security and Applied AI Engineering Analyst |
| Role Type: | Analyst |
| Experience Required: | 5 years of experience in data analysis and 5 years of experience in project management |
| Salary: | As per Company Standards |
| Application Deadline: | ASAP |
Role Overview:-
The Cyber Security and Applied AI Engineering Analyst will use large-scale data analysis, cybersecurity investigation techniques, and AI-powered solutions to identify and prevent abuse affecting Chrome users.
The role combines security research, data analytics, threat investigation, machine learning, and project management. The selected candidate will work closely with Google engineers, product managers, and cross-functional teams to identify attack patterns, improve detection systems, investigate vulnerabilities, and develop scalable protection mechanisms.
Educational Requirements:-
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred Qualifications
- Master’s degree in Computer Science, Information Technology, or a quantitative discipline such as Statistics, Mathematics, or Operations Research.
- Strong foundational knowledge of cybersecurity principles and practices.
- Familiarity with browser extensions, their development lifecycle, and associated security considerations.
- Working knowledge of one or more of the following:
- Cybersecurity
- Threat intelligence
- Statistical analysis
- Machine learning libraries, such as R-based libraries
- Python programming
- Large Language Models (LLMs)
- Applied AI
- Strong problem-solving and critical-thinking skills with attention to detail.
Key Skills:-
1. Technical Skills
- Cybersecurity principles and practices
- Data analysis and statistical analysis
- Python programming
- R and statistical or machine learning libraries
- Artificial Intelligence (AI) and Applied AI
- Large Language Models (LLMs)
- Threat intelligence and security investigations
- Browser extension security
- Malware and abuse detection
- Quantitative and qualitative data analysis
- Trend identification and summary statistics
- Automated detection systems and security signals
2. Functional and Domain Skills
- Chrome Platform Security
- Trust & Safety operations
- Cybersecurity threat investigation
- Attack vector identification and analysis
- Abuse pattern identification
- Security policy enforcement
- Project scope, goal, and deliverable management
- Automated and manual review pipeline assessment
- Risk identification and mitigation
- Collaboration with engineering and product teams
- Development and deployment of security protection mechanisms
3. Soft Skills
- Analytical thinking and problem-solving
- Critical thinking and decision-making
- Attention to detail
- Project coordination and planning
- Cross-functional collaboration
- Clear communication and stakeholder management
- Adaptability in a fast-changing environment
- Proactive investigation and continuous improvement
Roles and Responsibilities:-
1. Cybersecurity Investigations and Threat Analysis
- Conduct security investigations to identify harmful browser extensions, malware, abuse patterns, and other security threats.
- Use reverse engineering and investigation techniques to understand attacker behavior and identify potential vulnerabilities.
- Enforce applicable product policies to help protect Chrome users.
- Establish ground-truth data to improve the accuracy of automated detection and review systems.
- Analyze the evolving abuse landscape and understand emerging attack techniques.
2. Data Analysis and Insight Generation
- Analyze large-scale quantitative and qualitative datasets to identify patterns, trends, and potential security threats.
- Generate summary statistics and actionable insights to support security decisions.
- Identify performance gaps in automated and manual review pipelines.
- Use data-driven findings to improve threat detection, investigation workflows, and protection strategies.
- Support the evaluation of detection methods and security signals.
3. AI-Powered Security Solutions
- Design AI-powered and automated solutions to identify malware and other harmful techniques at scale.
- Explore applications of machine learning, LLMs, and applied AI to improve cybersecurity detection capabilities.
- Support the development of automated systems that can identify abuse more efficiently.
- Help improve existing security workflows through data-driven automation.
- Collaborate with technical teams to evaluate and refine detection solutions.
4. Security Detection and Protection Mechanisms
- Collaborate with engineering and product teams to develop and deploy new detection methods and signals.
- Identify vulnerabilities and weaknesses in existing security controls and review systems.
- Help develop scalable mechanisms to protect Chrome users from malicious extensions and online abuse.
- Support continuous improvements in detection accuracy, review effectiveness, and user protection.
- Contribute to initiatives that strengthen the security and integrity of Google products.
5. Project Management and Cross-Functional Collaboration
- Define project scope, goals, deliverables, and expected outcomes.
- Coordinate with engineering, product management, and other Trust & Safety stakeholders.
- Support the planning and execution of security analysis and AI-driven protection initiatives.
- Communicate investigation findings and data insights to relevant teams.
- Work collaboratively across functions to address emerging security challenges.
About the Company:-
Google is a global technology company that develops products and services used by people and businesses worldwide. Its Trust & Safety teams work to protect users, advertisers, publishers, and partners from abuse, fraud, malware, spam, account hijacking, and other online threats.
The Chrome Web Store and Extensions Security team focuses on protecting users from harmful browser extensions while helping developers deliver useful and safe experiences through Chrome.
Google Hiring: Cyber Security and Applied AI Engineering Analyst, Chrome Platform Security 2026 Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
