AI DevSecOps Engineer

ABOUT CLIENT

Our client is a startup company focusing on building a marketplace for insurance products

JOB DESCRIPTION

Managing CI/CD Pipeline: Oversee the creation and management of the CI/CD pipeline for automated, secure, and scalable development processes.
Infrastructure & Security: Develop and implement secure infrastructure solutions using cloud services, containerization, and orchestration tools.
Code Security: Conduct regular code reviews and analyses to detect and address security vulnerabilities.
Monitoring and Incident Response: Establish continuous monitoring for detecting issues and threats, and respond promptly to incidents.
Compliance and Best Practices: Ensure adherence to industry standards and best practices, such as GDPR, ISO, and PCI-DSS.
Collaboration: Work closely with development, operations, and security teams to promote an automated and security-focused mindset.
Documentation: Maintain comprehensive and updated documentation of security policies, procedures, and incident reports.
Rapid Prototyping: Utilize rapid prototyping methods to expedite product development for clients.
Trend Scouting: Stay informed about the latest technology and AI trends to integrate innovative solutions into processes.

JOB REQUIREMENT

A degree in Information Technology or a related field is required.
At least 3 years of experience in DevOps/DevSecOps roles, focusing on infrastructure.
Proficient in cloud platforms (AWS, Azure, GCP) and their security features.
Strong knowledge of CI/CD tools (Azure Pipeline, Jenkins, Argocd, GitLab CI).
Experience with IaC tools (Terraform, Terragrunt, Helm) and familiarity with GitOps concepts.
Expertise in containerization and orchestration (Docker, Kubernetes).
Familiarity with security tools (SIEM, SonarQube, OWASP ZAP, Trivy).
Strong scripting skills (Python, Bash, PowerShell).
Knowledge of network security, firewalls, VPN, IDS/IPS.
Good knowledge of SQL/NoSQL (PostgreSQL, MongoDB, etc.).
Understanding of AI and machine learning principles to enhance security measures and automate threat detection.
Proactive and solutions-oriented thinking.
Innovative and entrepreneurial mindset.
Ability to work well as part of a team and autonomously.
Capability to thrive in a fast-paced, high-volume environment.
Strong decision-making abilities.
Excellent work ethic.

WHAT'S ON OFFER

Competitive compensation package
Health benefits for yourself and two family members
Additional allowances for meals, phone, and transportation
Year-end bonus
Strong business and technical support
Positive and diverse work environment
Potential for travel and work in Southeast Asia
New, modern office in District 1 (HCM city)
Access to latest technologies and flexible work hours
Other perks and benefits available

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, insurance domain

Technical Skills:

Devops, AWS, Azure

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01474

Status:

Close

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning

Develop and test deep learning models for various wireless signal processing tasks including channel estimation, beam alignment, link adaptation, and scheduling. Utilize simulation tools and real-world datasets to create models that can be applied across different wireless scenarios. Build, train, and assess neural networks (e.g., CNNs, Transformers, GNNs) with PyTorch or TensorFlow. Engage in teamwork with researchers and system engineers to incorporate models into complete RAN systems. Enhance model efficiency for real-time processing and hardware acceleration. Participate in model assessment, performance comparison, and deployment preparation on GPU platforms.

Negotiation

View details

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning
  • Management

Manage and expand an engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Supervise the development of deep learning models for various tasks related to RAN. Work with global teams to drive proof-of-concepts and production-quality AI-RAN components. Supervise the integration of AI models into full-stack simulations and/or testbeds using various frameworks. Align project priorities with hardware-software co-design constraints and deployment scenarios. Provide mentorship and guidance to team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details