Senior Systems Software Engineer

Contribute to the development and maintenance of advanced machine learning software and frameworks with a focus on performance and scalability.

Improve CI/CD pipelines to make the development, testing, and deployment of large-scale machine learning models more efficient.

Set up and manage cloud infrastructure for continuous integration, delivery, and deployment, ensuring high availability and scalability.

Work closely with teams from various departments to enhance development workflows and software delivery speed and quality.

Address and resolve complex issues related to software development, containerization, and cloud infrastructure in production environments.

Create and update detailed documentation for development and deployment processes.

Effectively communicate with both technical and non-technical stakeholders to align expectations and provide transparency throughout the release and deployment process.

Oversee code reviews, testing, and debugging to maintain high-quality code and streamline workflows.

Provide mentorship and guidance to junior engineers to support their professional growth and improve team capabilities.

A degree in Computer Science, Information Systems, Engineering, or related fields or equivalent experience.

7+ years of software engineering experience with expertise in CI/CD, cloud infrastructure, and advanced machine learning frameworks.

Proficiency in automation and orchestration tools like Docker, Kubernetes, Jenkins, and Terraform or similar CI/CD Tools.

Experience with cloud platforms such as AWS, Azure, or GCP.

Strong programming skills in Python and/or other relevant languages.

Experience in creating and implementing scalable software solutions.

Strong problem-solving and analytical skills focused on practical and scalable solutions.

Ability to work effectively in a collaborative environment and handle multiple tasks and projects.

Familiarity with version control systems and configuration management.

Demonstrated ability to quickly learn and adapt to new technologies.

Extensive experience with advanced AI tools and frameworks, including LLMs and NVIDIA Blueprints.

Contributions to open-source projects, showcasing a collaborative and innovative mindset.

Experience in deploying machine learning models on edge devices or platforms.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666