1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Design and implement LLM-based agents and multi-agent architectures for reasoning, collaborative analysis, and vulnerability detection.
- Integrate Model Context Protocol for contextual data enrichment.
- Build and maintain web dashboards, RESTful APIs, microservices, front-end applications, and back-end services.
- Develop and maintain CI/CD pipelines for cloud and on-premises deployments.
- Implement containerized deployments and optimize workflows for high availability and performance.
- Automate build instantiation and generate artifacts such as dependency graphs.
- Use static and dynamic analysis tools and fuzzing frameworks to identify vulnerabilities.
- Contribute to security-focused automation pipelines and drive end-to-end AI/ML application initiatives.
Requirements
- 6–8+ years of software engineering experience with a bachelor's or master's degree in computer science, engineering, or a related field.
- Proficiency in multiple programming languages, including Python, Java, and C++.
- Strong experience with automation tools and CI/CD pipelines such as Jenkins, Azure DevOps, and GitHub Actions.
- Experience developing and deploying AI/ML applications.
- Understanding of cloud platforms and container orchestration, including Azure, AWS, and Kubernetes.
- Experience with data engineering and big data technologies is preferred.
- Knowledge of security best practices, DevOps tools, program analysis, CodeQL, Klocwork, or fuzzing frameworks is preferred.
- Strong problem-solving, communication, and leadership skills.
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.