Software Infrastructure Engineer

JOB DESCRIPTION

Build and maintain highly available systems responsible for service deployment & telemetry across various production environments.
Architect and manage secure, scalable infrastructure utilizing Kubernetes to support our external and internal use cases.
Develop tools to enable other engineers such as CI/CD pipelines, container schedulers, and custom applications.
Monitor and debug complex issues and performance problems throughout the stack.  
Involve in developing new features that required changes on the underlying infrastructure.
Collaborate with an international teams across different time zones

JOB REQUIREMENT

Extensive knowledge of networking and security
Large AWS deployment experience
Excellent analytical, problem-solving, and time management skills
Proficiency in a Linux environment
Programming background is a plus

WHAT'S ON OFFER

Awesome colleagues across the globe with variety of backgrounds in tech, finance, and legal
(Very) fast growing team with lots of opportunities for individual growths
Competitive compensation (salary and equity)
Unlimited vacation policy
Comprehensive health insurance
Nice office in D2, HCMC with lots of cool stuff to help you to relax (video games, billiards etc.).

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Devops, System, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00558

Status:

Close

Related Job:

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam


Product

  • Devops
  • C/C++
  • Python
  • Golang

Develop efficient infrastructure and tools for automating complex software processes. Drive Performance Optimization: Implement advanced test harnesses, benchmarking frameworks, and analytical tools to rigorously characterize and optimize the performance and efficiency of our software and hardware platforms. Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performance systems. Work with engineering teams to understand needs, define requirements, and deliver efficient solutions. Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability. Influence Technical Strategy: Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies.

Negotiation

View details

Software Engineer, Metropolis Vision AI

Ho Chi Minh - Viet Nam


Product

  • C/C++
  • Python
  • AI

Implementing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models. Developing large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. Assisting to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. Profiling GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. Collaborating with partner teams to implement technical builds. Participating in technical reviews and contributing to guidelines for code quality and testing

Negotiation

View details

Senior Software Engineer, Metropolis Vision AI

Ho Chi Minh - Viet Nam


Product

  • C/C++
  • Python
  • AI

Implementing and optimizing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models. Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. Contributing to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations. Participating in technical reviews and contributing to guidelines for code quality and testing.

Negotiation

View details