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Platform Dev & Support Engineer (Python, NoSQL, Devops)

Nutanix

Austin (TX)

On-site

USD 80,000 - 130,000

Full time

30+ days ago

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Job summary

An established industry player is seeking an experienced developer to join their dynamic team. This role involves building and operating scalable Machine Learning platforms, leveraging your expertise in Rust, Python, and Kubernetes. You will play a pivotal role in developing and supporting cutting-edge Generative AI systems, ensuring optimal performance and reliability. If you have a passion for technology and a knack for solving complex problems, this opportunity will allow you to make a significant impact in a collaborative environment. Join a forward-thinking company that values innovation and creativity in the tech space.

Qualifications

  • 3 to 7 years of experience in software development focused on scalable systems.
  • Proficiency in Rust and Python with experience in high-performance applications.

Responsibilities

  • Develop and support components of large-scale Generative AI platforms.
  • Set up and manage Kubernetes clusters for containerized applications.

Skills

Python
Rust
Kubernetes
Linux
NoSQL (Mongo/Redis)
Distributed Systems
Microservices Architecture
Data Structures
Algorithms
Cloud-native Technologies

Education

Bachelor's degree in Computer Engineering, Computer Science, or Information Systems
5+ years of IT-relevant work experience without a Bachelor's degree

Tools

Kubernetes
Container Orchestration

Job description

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 developer to support scalable Machine Learning platforms. 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 with strong knowledge of Python or Rust, NoSQL (Mongo/Redis), and experience developing/supporting large-scale end-user facing applications.

Responsibilities:

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

Requirements/Skills:

  1. 3 to 7 years of experience in software development, with a focus on building scalable and distributed systems.
  2. Proficiency in Rust and Python programming languages, with experience in developing high-performance applications.
  3. Experience setting up and operating Kubernetes clusters, including deployment, scaling, and management of containerized applications.
  4. Strong understanding of distributed microservices architecture and its application in large-scale systems.
  5. Excellent knowledge of Linux, including shell scripting, package management, and system administration.
  6. Good understanding of networking fundamentals, including protocols, architectures, and network security.
  7. Familiarity with data structures and algorithms, including trade-offs and optimization techniques.
  8. Experience debugging complex production issues in large-scale application platforms.
  9. Experience working with cloud-native technologies, such as containers, orchestration, and service meshes.
  10. Strong problem-solving skills, with the ability to debug complex issues and optimize system performance.
  11. Excellent communication and collaboration skills, with experience working with cross-functional teams and customers.

Minimum Qualifications:

  1. 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.
  2. 3+ years of any combination of academic or work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.).
  3. 1+ year of any combination of academic or work experience with Data Structures, algorithms, and data stores.

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 participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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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