VinUnians! Before applying through the link below, kindly scroll to the end of this JD and complete our short form.
It helps us discover more opportunities like this and keep track of your application in case it doesn’t show up on the partner’s portal. 

https://www.linkedin.com/jobs/view/4223750623

What You'll Be Doing

• Develop and deploy containerized applications and microservices (e.g., in Python, Go) supporting NIM production and automation, with guidance from senior engineers.
• Contribute to building and optimizing containerized inference execution for various AI applications.
• Assist in ensuring the performance and scalability of NIMs and automation tools through testing, monitoring, and analysis.
• Contribute to the implementation and maintenance of CI/CD pipelines for automated testing and deployment processes.
• Utilize container technologies (Docker) and orchestration platforms (Kubernetes) in development and deployment tasks.
• Support the enhancement of services for cloud environments, applying Infrastructure as Code (IaC) practices (e.g., Terraform, Ansible).
• Collaborate with team members to troubleshoot issues, debug code, and improve existing systems.
• Actively participate in team discussions, code reviews, and contribute to a collaborative engineering culture.
  
  

What We Need To See

• A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 0-2 years of software development experience (internships and significant academic projects count!).
• Solid programming fundamentals, with experience in languages like Python or Go.
• Familiarity with basic software development concepts (e.g., version control with Git, testing).
• An understanding of or strong interest in learning about containerization (Docker) and orchestration (Kubernetes).
• Interest in cloud technologies and distributed systems.
• A passion for problem-solving and eagerness to learn new technologies.
• Good communication and collaboration skills.
• Enthusiasm for AI/ML technologies.
  
  

Ways To Stand Out From The Crowd

• Prior internship experience in software development, cloud computing, or infrastructure.
• Personal projects demonstrating experience with Python/Go, Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
• Exposure to CI/CD tools (e.g., GitLab CI).
• Basic understanding of microservice architectures.
• Contributions to open-source projects.