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Lead Engineer-Senior-Security related tools and Framework
Hyderabad, Telangana, India
·
On-site
·
Full-time
·
2mo ago
Company:
Qualcomm India Private Limited:
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Minimum Qualifications:
-
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. -
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Job Requisition: 3082217 Lead Engineer-Senior
Location: Hyderabad
About the Role:
We are seeking an enthusiastic and versatile Senior Lead Engineer to join our dynamic team. The ideal candidate will have a strong software engineering background with the ability to seamlessly navigate multiple programming languages based on project and initiative needs. This role demands a proactive individual with expertise in automation, CI/CD pipelines, and advanced skills in AI/ML to drive end-to-end initiatives and deploy scalable applications.
Key Responsibilities
- AI & Automation
Design and implement workflows using LLM-based agents for reasoning and vulnerability detection.
- Integrate Model Context Protocol (MCP) for contextual data enrichment.
- Develop multi-agent architectures for collaborative analysis and decision-making.
- Full-Stack Development
Build and maintain web dashboards**,RESTful APIs, and** microservices.
- Develop scalable front-end applications (React/Angular/Vue) and back-end services (Python/Node.js/Java).
- Ensure robust CI/CD pipelines for deployment on cloud or on-prem servers.
- Dev
Ops & Infrastructure:
Implement containerized deployments (Docker/Kubernetes).
- Optimize workflows for high availability and performance.
Required Qualifications
- 6–8+ years of experience with a Bachelor’s or master’s in computer science, Engineering, or related field.
- Proficiency in multiple programming languages (e.g., Python, Java, C++).
- Strong expertise in automation tools and CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitHub Actions).
- Proven experience in AI/ML application development and deployment.
- Solid understanding of cloud platforms and container orchestration (Azure, AWS, Kubernetes).
- Excellent problem-solving, communication, and leadership skills.
Preferred Skills
- Experience with data engineering and big data technologies.
- Knowledge of security best practices in software development.
- Familiarity with DevOps culture and tools.
- Program Analysis
Automate build instantiation and generate artifacts like dependency graphs.
- Work with static and dynamic analysis tools (e.g., CodeQL, Klocwork, fuzzing frameworks) to identify vulnerabilities.
- Contribute to security-focused automation pipelines.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
2.5
Career
3.0
Management
2.5
Pros
Good work-life balance
Real engineering work with technical challenges
Good compensation
Cons
Slow processes and bureaucracy
Poor management and planning
Cross-team dependencies and alignment issues
Salary Ranges
1 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$215,000
total / year
Base
$170,000
Stock
$30,000
Bonus
$15,000
$182,750
$247,250
Interview Experience
8 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Onsite
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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