Cloud Infrastructure Engineer

JOB DESCRIPTION

Work with the current team to take ownership of existing AWS property.
Design and build an improved greenfield AWS environment.
Work with development team to produce a highly reactive CI/CD -> infrastructure pipeline.
Be an active member of an agile engineering team who is continuously looking to improve team performance.
Participate in periodic on-call duties.

JOB REQUIREMENT

Deep understanding of AWS at all levels (EC2, IAM, Redshift, Aurora, VPC, SQS etc.)
Expert in infrastructure as a code and related tools as Terraform (strongly preferred), Ansible, Packer.
Solid understanding of Linux.
Solid knowledge around containers (Docker, Podman, LXC).
Experience developing CI/CD pipelines, GitLab (preferred), GitHub or Git (including runners).
Experience with operating open source products for example Apache, NGINX, MySQL, PostgreSQL, Redis, Sentry, ELK.
Excellent coding skills.
Ability to direct work of other junior members.
Understanding of all of the above with regard to scale, security and reliability.

WHAT'S ON OFFER

Day-off: 15 days (less than 2 years’ employee); 20 days (more than 2 years)
Health Insurance (AON – person and family)
Bonus: 2 – 4 times salary based on performance.
Company trip: once a year, monthly activities
Tea break, snacks, dinner order

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:

System, Cloud

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00695

Status:

Close

Related Job:

Senior DevOps Engineer

Ho Chi Minh - Viet Nam

Product

  • Devops
  • Cloud
  • Kubernetes

Manage VM/Cloud Infrastructure: Ensure that web servers and cloud services (AWS, GCP) are stable and perform optimally. Manage both on-prem and cloud-based infrastructure following DevSecOps best practices, including network design and segmentation Develop and Maintain Scripts and Tools: Write and maintain scripts (bash, python) to automate routine tasks and improve system efficiency. Build and Contribute to Our Monitoring System: Set up and manage monitoring systems using Prometheus and Grafana to track system performance and send alerts. Prepare CI/CD Pipelines: Implement and maintain automated deployment pipelines using GitLab CI, ArgoCD, and FluxCD. Design and Optimize Infrastructure: Design and optimize the infrastructure to ensure system stability, minimize downtime, and enhance overall performance. Web Server and Platform Management: Manage web server configurations and security, including Nginx, Kubernetes ingress, load balancers, DNS, WAF, and firewall rules, ensuring high availability and secure operations. Collaborate with Development Teams: Work closely with development and production teams to streamline deployment processes and resolve system and security-related issues.

Negotiation

View details

Data Scientist Lead

Ho Chi Minh - Viet Nam

Outsource

  • Machine Learning
  • Data Engineering
  • Cloud
  • Management

Creating robust ETL/ELT data pipelines for structured and unstructured data Developing interactive dashboards and visualizations for effective communication of insights Evaluating, deploying, and evaluating machine learning and/or generative AI models Applying statistical analysis and mathematical modeling to extract insights from complex datasets Working with various teams to deliver data-driven solutions Creating and maintaining scalable ML pipelines and APIs for real-time and batch inference Ensuring best practices in model versioning, reproducibility, observability, and governance (MLOps) Staying updated with AI/ML trends and contributing to projects involving semantic search, knowledge graphs, or retrieval-augmented generation as necessary.

Negotiation

View details

NLP Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Data Engineering
  • Python
  • NLP

The NLP Data Engineer role involves designing, implementing, and overseeing complex data pipelines from various sources with different formats and latencies. Collaboration with data, technology, and research teams is essential to develop and test strong data onboarding and ETL systems, which will be directly used by quantitative investment strategies.

Negotiation

View details