Senior Lead Engineer- Product Security tools, AI

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.

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 Agents & Intelligent Automation

• Build and operate Python-based automation frameworks for security and engineering workflows.
• Develop LLM-powered agentic systems, including single-agent and multi-agent reasoning patterns.
• Implement agent tool-calling and orchestration with internal systems (JIRA, static analysis tools, CI/CD, metadata services).
• Design context management pipelines (MCP-style patterns, memory, retrieval) for task-specific agent reasoning.
• Apply prompt engineering, guardrails, and evaluations to ensure reliable, auditable, and deterministic automation.

Python Automation & Backend Engineering

• Develop and maintain Python services, scripts, and APIs supporting AI-driven automation.
• Implement async, event-driven, or batch workflows based on scale and latency needs.
• Build lightweight integration APIs (FastAPI/Flask preferred).

Systems Integration & DevOps

• Package and deploy services using Docker and Kubernetes in enterprise environments.
• Integrate with CI/CD pipelines for continuous testing and safe rollout.
• Optimize systems for scalability, resiliency, and cost efficiency.
• Implement logging, tracing, and metrics for observability and debugging.

Collaboration & Engineering Excellence

• Partner with security, static analysis, and platform teams to automate manual workflows.
• Participate in design and architecture reviews; produce clear technical documentation.
• Mentor engineers on Python automation and AI agent best practices.

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 [email protected] 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.

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If you would like more information about this role, please contact Qualcomm Careers.