📍 Job Overview

• Job Title: DevOps Engineer (HCM/DN/HN)
• Company: CodeLink
• Location: Ho Chi Minh City, Vietnam
• Job Type: Hybrid (2 office days per week)
• Category: DevOps Engineer
• Date Posted: June 25, 2025
• Experience Level: Mid-level (2-5 years)
• Remote Status: Hybrid (3 days remote every week and four full remote weeks per year)

🚀 Role Summary

• Key Responsibilities: Handle a wide range of web and AI applications, focusing on performance, scalability, and availability. Work on MLOps, particularly LLMOps, to gain valuable experience in this area.
• Key Skills: DevOps, GCP, Azure, AWS, CI/CD, Infrastructure as Code, CloudFormation, Terraform, Ansible, GitHub Actions, Deployment, Monitoring, Performance Tuning, Shell, Bash, Docker, Kubernetes.

💻 Primary Responsibilities

• Web & AI Application Management: Handle various web and AI applications, ensuring optimal performance, scalability, and availability.
• MLOps & LLMOps: Work on machine learning operations, focusing on model evaluation, fine-tuning, deployment, and monitoring, particularly in the large language model (LLM) space.
• Infrastructure Management: Set up and manage infrastructure using tools like CloudFormation, Terraform, and Ansible. Ensure efficient deployment, scaling, monitoring, and performance tuning.
• CI/CD Pipeline Management: Implement and maintain CI/CD systems for web and mobile applications using tools like GitHub Actions.
• Command-Line Tools: Utilize command-line tools such as Shell, Bash, ZShell, CMD, and PowerShell for Linux/macOS and Windows environments.
• System Assessment & Setup: Assess system requirements and set up new environments efficiently.
• Git & Collaboration: Work with Git, GitHub, GitLab, and Pull Requests for version control and collaboration.

📝 Enhancement Note: This role requires a strong focus on infrastructure management, CI/CD pipelines, and MLOps, making it an excellent fit for mid-level DevOps engineers looking to expand their skillset in AI and machine learning operations.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications are a plus.

Experience: Minimum 2 years of experience with GCP, Azure, or AWS. Experience with CI/CD systems, Infrastructure as Code tools, and command-line tools is essential.

Required Skills:

• Proficiency in GCP, Azure, or AWS (minimum 2 years of experience)
• Experience with CI/CD systems and Infrastructure as Code tools (CloudFormation, Terraform, Ansible)
• Hands-on experience with deployment, scaling, monitoring, and performance tuning
• Familiarity with Git, GitHub, GitLab, and Pull Requests
• Excellent written and verbal communication skills in English

Preferred Skills:

• Familiarity with Azure or AWS Cloud
• Familiarity with Docker and Kubernetes
• Familiarity with MLOps: model evaluation, fine-tuning, deployment, and monitoring
• Familiarity with Cloud Services Certificate, Microservices architecture, and System Design
• Familiarity with Agile process and scrum methodologies

📝 Enhancement Note: While the required skills focus on cloud platforms, CI/CD systems, and infrastructure management, the preferred skills highlight the opportunity to work on MLOps, gain experience with emerging technologies, and advance your career in DevOps and AI operations.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate your experience with web and AI application management, highlighting performance, scalability, and availability improvements.
• Showcase your CI/CD pipeline implementation and management, emphasizing efficient deployment and automated testing.
• Display your proficiency in infrastructure management using tools like CloudFormation, Terraform, and Ansible. Include case studies of successful deployments and scaling projects.
• Highlight your experience with MLOps, focusing on model evaluation, fine-tuning, deployment, and monitoring. Include examples of working with large language models (LLMs) if applicable.

Technical Documentation:

• Document your code quality, commenting, and documentation standards, emphasizing readability and maintainability.
• Describe your version control, deployment processes, and server configuration strategies, focusing on automation and efficiency.
• Explain your testing methodologies, performance metrics, and optimization techniques, demonstrating your commitment to quality assurance and performance improvement.

📝 Enhancement Note: Given the focus on web and AI application management, MLOps, and infrastructure management, your portfolio should emphasize these aspects. Highlight your problem-solving skills, performance optimization techniques, and experience with emerging technologies like large language models.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between 1,200,000 VND to 2,000,000 VND per month, based on regional market standards and the candidate's experience level. This estimate is based on research from Glassdoor and Payscale, considering the mid-level experience required for this role.

Benefits:

• Gold level Health Insurance coverage from Bao Viet Insurance, yearly complete Health Check, and social insurance
• Flexible working time starting anytime up to 10 AM, working Monday - Friday with no overtime and a long lunch break
• Allowance for meals, parking, petrol, along with unlimited snacks and nice coffee every day
• Choose from a brand-new Mac or PC device
• Salary review twice a year with opportunities for promotions and spot awards
• 12 days annual leave per year, with all days not taken paid out in cash, plus 2 sick leave days
• Yearly Training Budget up to 5,000,000 VND per staff, along with professional coaching programs, buddy systems, tech talks, agile sessions, and 1on1 private English classes
• Yearly company trip, monthly activities, and other celebrations for special days in the year, such as Women’s Day, YEP, and Christmas
• Employee-led clubs within the company, modern open-space office with comfortable workspace, a PS5 games room, and chill-out areas

Working Hours: The standard working hours are 40 hours per week, with flexible working time starting anytime up to 10 AM. The role follows a hybrid work arrangement with 2 office days per week and 3 remote days. Additionally, there are 4 full remote weeks per year.

📝 Enhancement Note: The salary range provided is an estimate based on regional market standards and the candidate's experience level. The benefits package is comprehensive, focusing on employee well-being, professional development, and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: CodeLink is a technology company specializing in web and AI applications, focusing on performance, scalability, and availability. This role will allow you to work on cutting-edge projects in the machine learning operations (MLOps) and large language model (LLM) spaces.

Company Size: CodeLink is a mid-sized company, providing a collaborative and dynamic work environment. This size allows for ample opportunities for growth, mentorship, and cross-functional collaboration.

Founded: CodeLink was founded in 2015, with a mission to empower businesses through innovative technology solutions. The company has since grown to become a leading provider of web and AI applications, focusing on performance, scalability, and availability.

Team Structure:

• The DevOps team consists of experienced engineers responsible for managing web and AI applications, infrastructure, and CI/CD pipelines.
• The team follows an Agile/Scrum methodology, with regular sprint planning, code reviews, and quality assurance practices.
• The team works closely with designers, marketers, and business teams to ensure user experience and business objectives are met.

Development Methodology:

• CodeLink follows an Agile/Scrum development process, with regular sprint planning, code reviews, and quality assurance practices.
• The team uses CI/CD pipelines for automated deployment, testing, and monitoring.
• The company emphasizes continuous learning, innovation, and collaboration, with regular tech talks, agile sessions, and 1on1 private English classes.

Company Website: www.codelink.io

📝 Enhancement Note: CodeLink's focus on web and AI applications, MLOps, and large language models (LLMs) provides an excellent opportunity for mid-level DevOps engineers to expand their skillset and work on cutting-edge projects. The company's mid-sized structure, collaborative culture, and emphasis on professional development make it an attractive workplace for tech professionals.

📈 Career & Growth Analysis

Web Technology Career Level: This role is suited for mid-level DevOps engineers with 2-5 years of experience in cloud platforms, CI/CD systems, and infrastructure management. The position offers opportunities to work on MLOps and LLMOps, providing a chance to gain valuable experience in AI and machine learning operations.

Reporting Structure: The DevOps Engineer will report directly to the DevOps Team Lead and work closely with other team members, designers, marketers, and business teams to ensure user experience and business objectives are met.

Technical Impact: The DevOps Engineer will play a crucial role in managing web and AI applications, ensuring optimal performance, scalability, and availability. Additionally, the role involves working on MLOps and LLMOps, contributing to the company's AI and machine learning initiatives.

Growth Opportunities:

• Technical Skill Development: Gain experience in MLOps and LLMOps, expanding your skillset in AI and machine learning operations.
• Emerging Technology Adoption: Work on cutting-edge projects in the large language model (LLM) space, staying up-to-date with the latest trends and technologies in AI and machine learning.
• Technical Leadership: As you gain experience and demonstrate your expertise, you may have the opportunity to take on more responsibilities, mentor junior team members, and contribute to architecture decisions.

📝 Enhancement Note: This role offers mid-level DevOps engineers the chance to work on MLOps and LLMOps, expanding their skillset in AI and machine learning operations. The position provides opportunities for technical skill development, emerging technology adoption, and technical leadership, contributing to the company's AI and machine learning initiatives.

🌐 Work Environment

Office Type: CodeLink's office is a modern, open-space environment designed to foster collaboration, creativity, and innovation. The workspace is comfortable and equipped with multiple monitors and testing devices to support web development and infrastructure management tasks.

Office Location(s): The company has offices in Ho Chi Minh City, Da Nang, and Ha Noi, with flexible working arrangements that allow employees to work remotely for up to 4 weeks per year.

Workspace Context:

• Collaborative Web Development Environment: The open-space office encourages cross-functional collaboration between developers, designers, and stakeholders, facilitating efficient communication and problem-solving.
• Development Tools & Infrastructure: The workspace is equipped with multiple monitors and testing devices, allowing engineers to work efficiently on web development and infrastructure management tasks.
• Cross-Functional Collaboration Opportunities: The open-space office design and flexible working arrangements enable employees to work closely with other teams, such as design, marketing, and business teams, to ensure user experience and business objectives are met.

Work Schedule: The standard working hours are 40 hours per week, with flexible working time starting anytime up to 10 AM. The role follows a hybrid work arrangement with 2 office days per week and 3 remote days. Additionally, there are 4 full remote weeks per year.

📝 Enhancement Note: CodeLink's modern, open-space office provides a collaborative and innovative work environment, fostering cross-functional collaboration between developers, designers, and stakeholders. The flexible working arrangements, including remote work options, allow employees to maintain a healthy work-life balance while working on cutting-edge projects in web and AI applications, MLOps, and LLMOps.

📄 Application & Technical Interview Process

Interview Process:

1. Technical Preparation: Review your understanding of web and AI application management, focusing on performance, scalability, and availability. Brush up on your knowledge of CI/CD systems, Infrastructure as Code tools, and command-line tools. Familiarize yourself with the company's tech stack and development methodologies.
2. Web & AI Application Assessment: Demonstrate your ability to manage web and AI applications, highlighting your experience with performance optimization, scalability, and availability. Prepare case studies showcasing your problem-solving skills and technical achievements.
3. MLOps & LLMOps Assessment: Familiarize yourself with machine learning operations (MLOps) and large language models (LLMs). Prepare examples of your experience with model evaluation, fine-tuning, deployment, and monitoring. Highlight any relevant projects or case studies demonstrating your expertise in AI and machine learning operations.
4. Final Evaluation: Prepare for a final evaluation, focusing on your technical impact, career growth potential, and cultural fit. Research the company's mission, values, and team structure to ensure a strong alignment with your personal and professional goals.

Portfolio Review Tips:

• Web & AI Application Portfolio: Highlight your experience with web and AI application management, focusing on performance, scalability, and availability. Include case studies demonstrating your problem-solving skills, performance optimization techniques, and experience with emerging technologies like large language models (LLMs).
• MLOps & LLMOps Portfolio: Showcase your experience with machine learning operations (MLOps) and large language models (LLMs). Include examples of model evaluation, fine-tuning, deployment, and monitoring. Highlight any relevant projects or case studies demonstrating your expertise in AI and machine learning operations.
• Code Quality & Documentation: Document your code quality, commenting, and documentation standards, emphasizing readability and maintainability. Describe your version control, deployment processes, and server configuration strategies, focusing on automation and efficiency.
• Company-Specific Considerations: Research CodeLink's mission, values, and team structure to ensure a strong alignment with your personal and professional goals. Tailor your portfolio and presentation to highlight your relevant skills, experiences, and achievements that demonstrate your fit for the role and the company's culture.

Technical Challenge Preparation:

• Web & AI Application Challenges: Brush up on your knowledge of web and AI application management, focusing on performance, scalability, and availability. Prepare for challenges that may involve optimizing application performance, scaling infrastructure, or ensuring high availability.
• MLOps & LLMOps Challenges: Familiarize yourself with machine learning operations (MLOps) and large language models (LLMs). Prepare for challenges that may involve model evaluation, fine-tuning, deployment, and monitoring. Highlight any relevant projects or case studies demonstrating your expertise in AI and machine learning operations.
• Communication & Technical Explanation: Practice explaining technical concepts clearly and concisely, focusing on problem-solving skills, performance optimization techniques, and experience with emerging technologies like large language models (LLMs).

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: The interview process for this role focuses on web and AI application management, MLOps, and LLMOps. Prepare for technical assessments, portfolio reviews, and final evaluations, highlighting your experience with performance optimization, scalability, and availability. Familiarize yourself with the company's tech stack, development methodologies, and cultural values to ensure a strong alignment with your personal and professional goals.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable for this role, as it focuses on DevOps and infrastructure management.

Backend & Server Technologies:

• Cloud Platforms: GCP, Azure, or AWS (minimum 2 years of experience)
• Infrastructure as Code Tools: CloudFormation, Terraform, and Ansible
• CI/CD Tools: GitHub Actions
• Command-Line Tools: Shell, Bash, ZShell, CMD, and PowerShell for Linux/macOS and Windows environments
• MLOps & LLMOps Tools: Familiarity with model evaluation, fine-tuning, deployment, and monitoring tools is preferred

Development & DevOps Tools:

• Version Control: Git, GitHub, and GitLab
• Deployment Automation: CI/CD pipelines and automated deployment tools
• Server Configuration: Infrastructure as Code tools like CloudFormation and Terraform
• Monitoring Tools: Familiarity with web performance tracking and server monitoring tools is preferred

📝 Enhancement Note: The technology stack for this role focuses on cloud platforms, Infrastructure as Code tools, CI/CD systems, and command-line tools. Familiarity with MLOps and LLMOps tools is preferred, as the role involves working on machine learning operations and large language models.

👥 Team Culture & Values

Web Development Values:

• Performance Optimization: Prioritize performance optimization techniques to ensure web and AI applications run efficiently and effectively.
• Scalability & Availability: Design and implement scalable infrastructure to ensure web and AI applications can handle increased traffic and maintain high availability.
• Code Quality & Documentation: Maintain high code quality standards and thorough documentation to ensure code readability, maintainability, and easy onboarding for new team members.
• Innovation & Emerging Technologies: Stay up-to-date with the latest trends and technologies in web and AI applications, MLOps, and LLMOps to drive continuous improvement and innovation.

Collaboration Style:

• Cross-Functional Integration: Work closely with designers, marketers, and business teams to ensure user experience and business objectives are met.
• Code Review Culture: Implement a code review culture to maintain high code quality standards and facilitate knowledge sharing among team members.
• Peer Programming & Knowledge Sharing: Encourage peer programming and knowledge sharing to foster a collaborative and innovative work environment.

📝 Enhancement Note: CodeLink's web development values emphasize performance optimization, scalability, and availability, with a strong focus on code quality and documentation. The collaboration style encourages cross-functional integration, code review culture, and peer programming, fostering a collaborative and innovative work environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Web & AI Application Optimization: Optimize web and AI applications for performance, scalability, and availability, using techniques such as caching, load balancing, and horizontal scaling.
• Infrastructure Management: Manage infrastructure using tools like CloudFormation, Terraform, and Ansible, ensuring efficient deployment, scaling, monitoring, and performance tuning.
• CI/CD Pipeline Implementation: Implement and maintain CI/CD systems for web and mobile applications, focusing on automated deployment, testing, and monitoring.
• MLOps & LLMOps Challenges: Work on machine learning operations (MLOps) and large language models (LLMs), focusing on model evaluation, fine-tuning, deployment, and monitoring. Stay up-to-date with the latest trends and technologies in AI and machine learning operations.

Learning & Development Opportunities:

• Technical Skill Development: Gain experience in MLOps and LLMOps, expanding your skillset in AI and machine learning operations. Attend conferences, obtain certifications, and engage with the tech community to stay current with emerging technologies.
• Conference Attendance & Certification: Attend industry conferences, obtain relevant certifications, and engage with the tech community to stay current with emerging technologies and best practices in web and AI applications, MLOps, and LLMOps.
• Technical Mentorship & Leadership: Seek mentorship opportunities from experienced team members to gain insights into architecture decisions, technical leadership, and career growth. Contribute to the company's AI and machine learning initiatives by sharing your expertise and driving innovation.

📝 Enhancement Note: This role offers mid-level DevOps engineers the chance to work on MLOps and LLMOps, expanding their skillset in AI and machine learning operations. The technical challenges focus on web and AI application optimization, infrastructure management, CI/CD pipeline implementation, and emerging technology adoption. The learning and development opportunities emphasize technical skill development, conference attendance, certification, and technical mentorship.

💡 Interview Preparation

Technical Questions:

• Web & AI Application Management: Prepare for questions on web and AI application management, focusing on performance optimization, scalability, and availability. Brush up on your knowledge of CI/CD systems, Infrastructure as Code tools, and command-line tools.
• MLOps & LLMOps: Familiarize yourself with machine learning operations (MLOps) and large language models (LLMs). Prepare for questions on model evaluation, fine-tuning, deployment, and monitoring. Highlight any relevant projects or case studies demonstrating your expertise in AI and machine learning operations.
• Problem-Solving & Architecture Design: Prepare for questions on problem-solving, architecture design, and system design. Brush up on your knowledge of web architecture, performance optimization techniques, and experience with emerging technologies like large language models (LLMs).

Company & Culture Questions:

• Company Culture & Values: Research CodeLink's mission, values, and team structure to ensure a strong alignment with your personal and professional goals. Prepare for questions on your understanding of the company's culture, values, and work environment.
• Web Development Methodology: Familiarize yourself with CodeLink's development methodologies, including Agile/Scrum processes, code reviews, and quality assurance practices. Prepare for questions on your experience with these methodologies and your ability to work effectively in a collaborative environment.
• User Experience Impact: Prepare for questions on your understanding of user experience design, user interface (UI) and user experience (UX) principles, and the impact of web and AI applications on user experience. Highlight any relevant projects or case studies demonstrating your expertise in user experience design and optimization.

Portfolio Presentation Strategy:

• Web & AI Application Portfolio: Highlight your experience with web and AI application management, focusing on performance, scalability, and availability. Include case studies demonstrating your problem-solving skills, performance optimization techniques, and experience with emerging technologies like large language models (LLMs).
• MLOps & LLMOps Portfolio: Showcase your experience with machine learning operations (MLOps) and large language models (LLMs). Include examples of model evaluation, fine-tuning, deployment, and monitoring. Highlight any relevant projects or case studies demonstrating your expertise in AI and machine learning operations.
• Code Quality & Documentation: Document your code quality, commenting, and documentation standards, emphasizing readability and maintainability. Describe your version control, deployment processes, and server configuration strategies, focusing on automation and efficiency.
• Company-Specific Considerations: Tailor your portfolio and presentation to highlight your relevant skills, experiences, and achievements that demonstrate your fit for the role and the company's culture.

📝 Enhancement Note: The interview preparation for this role focuses on web and AI application management, MLOps, and LLMOps. Prepare for technical questions on web and AI application management, MLOps, problem-solving, and architecture design. Familiarize yourself with CodeLink's development methodologies, user experience design principles, and company culture to ensure a strong alignment with your personal and professional goals.

📌 Application Steps

To apply for this DevOps Engineer (HCM/DN/HN) position at CodeLink:

1. Customize Your Portfolio: Tailor your web and AI application management portfolio, MLOps, and LLMOps case studies to highlight your problem-solving skills, performance optimization techniques, and experience with emerging technologies like large language models (LLMs). Include examples of your experience with model evaluation, fine-tuning, deployment, and monitoring.
2. Optimize Your Resume: Highlight your relevant skills, experiences, and achievements in web and AI application management, MLOps, and LLMOps. Include specific project examples demonstrating your expertise in AI and machine learning operations. Optimize your resume for web technology keywords and ATS systems.
3. Prepare for Technical Challenges: Brush up on your knowledge of web and AI application management, CI/CD systems, Infrastructure as Code tools, and command-line tools. Familiarize yourself with machine learning operations (MLOps) and large language models (LLMs). Prepare for technical challenges that may involve optimizing application performance, scaling infrastructure, or ensuring high availability.
4. Research the Company: Familiarize yourself with CodeLink's mission, values, and team structure. Understand the company's focus on web and AI applications, MLOps, and LLMOps. Prepare for company-specific questions and tailor your application to demonstrate your fit for the role and the company's culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.