Platform Dev & Support Engineer

2 Months ago • 3-7 Years • Devops

Job Summary

Job Description

The Platform Dev & Support Engineer will be responsible for developing, debugging, and supporting end-to-end components of a large-scale Generative AI platform. This involves setting up and operating Kubernetes clusters, implementing distributed microservices architecture, and ensuring optimal performance, security, and reliability. The engineer will also develop and maintain automation scripts, troubleshoot issues, and optimize system performance, collaborating with users and participating in code reviews. The role requires strong experience in Python or Rust, NoSQL, and experience with large-scale end-user-facing applications. The ideal candidate will play a critical role in developing, supporting and debugging Generative AI platforms. The candidate needs to have experience with Linux, networking, servers, and data centers.
Must have:
  • 3-7 years of software development experience
  • Proficiency in Rust and Python programming languages
  • Experience setting up and operating Kubernetes clusters
  • Strong understanding of distributed microservices architecture
  • Excellent knowledge of Linux
  • Good understanding of networking fundamentals
  • Familiarity with data structures and algorithms
  • Experience debugging complex production issues
  • Strong problem-solving skills
Good to have:
  • Experience working with cloud-native technologies

Job Details


Company:

Qualcomm India Private Limited

Job Area:

Information Technology Group, Information Technology Group > IT Software Developer

General Summary:

Qualcomm EDAAP (Engineering Solutions and AIML) team is seeking an experienced develop and support scalable Machine learning platform. The ideal candidate will have a strong background in building and operating distributed systems, with expertise in Rust, Python, Kubernetes, and Linux. You will play a critical role in developing, supporting and debugging our Generative AI platforms.
Experience:
3 to 7 years of experience strong knowledge of Python or Rust, NoSQL (Mongo/Redis), working experience of developing/supporting large scale end user facing applications.
Responsibilities
• Develop, Debug and support end to end components of large-scale Generative AI platform.
• Set up and operate Kubernetes clusters for efficient deployment and management of containerized applications
• Implement distributed microservices architecture to enable scalable and fault-tolerant inference pipelines
• Ensure optimal performance, security, and reliability of inference platforms, leveraging expertise in Linux, networking, servers, and data centers
• Develop and maintain scripts and tools for automating deployment, monitoring, and maintenance tasks
• Troubleshoot issues and optimize system performance, using knowledge of data structures and algorithms
• Work closely with users to debug issues and address performance and scalability issues.
• Participate in code reviews, contributing to the improvement of the overall code quality and best practices

Requirements/Skills
• 3 to 7 years of experience in software development, with a focus on building scalable and distributed systems
• Proficiency in Rust and Python programming languages, with experience in developing high-performance applications
• Experience setting up and operating Kubernetes clusters, including deployment, scaling, and management of containerized applications
• Strong understanding of distributed microservices architecture and its application in large-scale systems
• Excellent knowledge of Linux, including shell scripting, package management, and system administration
• Good understanding of networking fundamentals, including protocols, architectures, and network security
• Familiarity with data structures and algorithms, including trade-offs and optimization techniques
• Experience debugging complex production issues in large scale application platforms.
• Experience working with cloud-native technologies, such as containers, orchestration, and service meshes
• Strong problem-solving skills, with the ability to debug complex issues and optimize system performance
• Excellent communication and collaboration skills, with experience working with cross-functional teams and customers

Minimum Qualifications:

• 3+ years of IT-relevant work experience with a Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems).
OR
5+ years of IT-relevant work experience without a Bachelor’s degree.

• 3+ years of any combination of academic or work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.)
• 1+ year of any combination of academic or work experience with Data Structures, algorithms, and data stores.

• Develop, Debug and support end to end components of large-scale Generative AI platform.
• Set up and operate Kubernetes clusters for efficient deployment and management of containerized applications
• Implement distributed microservices architecture to enable scalable and fault-tolerant inference pipelines
• Ensure optimal performance, security, and reliability of inference platforms, leveraging expertise in Linux, networking, servers, and data centers
• Develop and maintain scripts and tools for automating deployment, monitoring, and maintenance tasks
• Troubleshoot issues and optimize system performance, using knowledge of data structures and algorithms
• Work closely with users to debug issues and address performance and scalability issues.
• Participate in code reviews, contributing to the improvement of the overall code quality and best practices

• 3 to 7 years of experience in software development, with a focus on building scalable and distributed systems
• Proficiency in Rust and Python programming languages, with experience in developing high-performance applications
• Experience setting up and operating Kubernetes clusters, including deployment, scaling, and management of containerized applications
• Strong understanding of distributed microservices architecture and its application in large-scale systems
• Excellent knowledge of Linux, including shell scripting, package management, and system administration
• Good understanding of networking fundamentals, including protocols, architectures, and network security
• Familiarity with data structures and algorithms, including trade-offs and optimization techniques
• Experience debugging complex production issues in large scale application platforms.
• Experience working with cloud-native technologies, such as containers, orchestration, and service meshes
• Strong problem-solving skills, with the ability to debug complex issues and optimize system performance
• Excellent communication and collaboration skills, with experience working with cross-functional teams and customers

Bachelors (Engineering) or Masters

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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Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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