DevOps Engineer (Python, Gen AI)
📍 Job Overview
- Job Title: DevOps Engineer (Python, Gen AI)
- Company: DHL Information Services (Asia-Pacific) Sdn. Bhd.
- Location: Cyberjaya, Malaysia
- Job Type: Full-Time, Hybrid
- Category: DevOps Engineer
- Date Posted: June 19, 2025
- Experience Level: Mid-Senior Level (2-5 years)
- Remote Status: On-site/Hybrid
🚀 Role Summary
- Collaborate with agile teams to understand and implement business requirements
- Solve incidents, monitor systems, and implement improvements post-Go Live
- Bring improvement ideas to increase quality and develop products further
- Work in a multinational environment with cross-region collaboration
📝 Enhancement Note: This role combines project delivery and support, focusing on incident management, system monitoring, and continuous improvement. It requires strong communication and collaboration skills to work effectively in an agile team.
💻 Primary Responsibilities
- Project Delivery & Support: Collaborate with agile teams to understand and implement business requirements
- Incident Management: Solve incidents based on tickets and ensure proper system monitoring
- Improvement & Development: Bring improvement ideas to discussions and contribute to product development
- Cross-Functional Collaboration: Work with multinational teams and collaborate with teams around the globe
📝 Enhancement Note: This role requires a balance of technical problem-solving, collaboration, and continuous improvement mindset to succeed in a dynamic, multinational environment.
🎓 Skills & Qualifications
Education: Bachelor's degree in Computer Science, IT, or a related field. Relevant experience may be considered in lieu of a degree.
Experience: Proven experience as a DevOps Engineer or similar role, with a focus on Python, Generative AI, and DevSecOps tools.
Required Skills:
- Python programming
- Generative AI models and related use cases
- Software development methodologies
- DevSecOps processes and tools (e.g., Git, Jira, Confluence)
- Java and Node.js programming languages
- Analytical and soft skills
Preferred Skills:
- Experience with project management tools (Jira, Confluence)
- Advanced spoken and written English skills
- Familiarity with multinational environments and cross-region collaboration
📝 Enhancement Note: While the required skills are essential for this role, the preferred skills demonstrate a strong fit for the multinational, collaborative environment at DHL IT Services.
📊 Web Portfolio & Project Requirements
Portfolio Essentials:
- Demonstrate proficiency in Python, Generative AI, and DevSecOps tools through relevant projects
- Showcase incident management and system monitoring skills with real-world examples
- Highlight continuous improvement mindset with examples of product development and enhancement
Technical Documentation:
- Document code quality, commenting, and version control processes
- Explain deployment processes, server configuration, and testing methodologies
- Describe performance metrics, optimization techniques, and user experience design considerations
📝 Enhancement Note: As a DevOps Engineer, your portfolio should emphasize your technical skills, problem-solving abilities, and collaborative approach to incident management and system improvement.
💵 Compensation & Benefits
Salary Range: RM 8,000 - RM 12,000 per month (based on experience and market research for mid-senior level DevOps Engineers in Malaysia)
Benefits:
- Hybrid work arrangements
- Unlimited outpatient and inpatient medical coverage
- Personalized flexi benefit plan
- Choose any day off from earned public holidays, including Saturdays and ad-hoc holidays
- Free parking
Working Hours: 40 hours per week, with flexible deployment windows and maintenance schedules
📝 Enhancement Note: The salary range is estimated based on market research for mid-senior level DevOps Engineers in Malaysia, with regional adjustments for cost of living and industry standards.
🎯 Team & Company Context
🏢 Company Culture
Industry: Logistics and supply chain management, with a focus on digitalization and innovation
Company Size: Large, global organization with over 6,000 IT professionals and a presence in multiple countries
Founded: 1969 (DHL), with the IT Services division established in 2006
Team Structure:
- Agile, cross-functional teams focused on project delivery and support
- Multinational environment with collaboration across regions
- Strong support for employee growth and development
Development Methodology:
- Agile software development methodologies
- Continuous integration and continuous deployment (CI/CD) pipelines
- Code review, testing, and quality assurance practices
Company Website: https://careers.dhl.com/global/en/
📝 Enhancement Note: DHL IT Services fosters a collaborative, multinational environment that encourages employee growth and development. Their agile teams and cross-functional collaboration drive continuous improvement and innovation in the logistics industry.
📈 Career & Growth Analysis
Web Technology Career Level: Mid-Senior Level DevOps Engineer, responsible for incident management, system monitoring, and continuous improvement in an agile team environment
Reporting Structure: Reports to the Department Manager, with collaboration across multiple teams and regions
Technical Impact: Contributes to the development and enhancement of products, with a focus on improving quality and user experience
Growth Opportunities:
- Technical skill development in Python, Generative AI, and DevSecOps tools
- Leadership and management opportunities within the IT Services division
- Cross-functional collaboration and exposure to various aspects of the logistics industry
📝 Enhancement Note: This role offers opportunities for technical growth and leadership development, with a focus on continuous learning and improvement in a dynamic, multinational environment.
🌐 Work Environment
Office Type: Modern, collaborative workspace with free parking
Office Location(s): Cyberjaya, Malaysia
Workspace Context:
- Collaborative workspace with agile team members
- Access to modern development tools and testing devices
- Opportunities for cross-functional collaboration with designers, marketers, and other stakeholders
Work Schedule: 40 hours per week, with flexible deployment windows and maintenance schedules
📝 Enhancement Note: The work environment at DHL IT Services encourages collaboration and innovation, with modern facilities and cross-functional team interaction.
📄 Application & Technical Interview Process
Interview Process:
- Technical Assessment: Demonstrate proficiency in Python, Generative AI, and DevSecOps tools through coding challenges and technical discussions
- Behavioral Questions: Discuss problem-solving skills, incident management experiences, and continuous improvement mindset
- Team Fit Assessment: Collaborate with team members and stakeholders to assess cultural fit and communication skills
- Final Evaluation: Evaluate technical impact, improvement ideas, and alignment with DHL IT Services' values
Portfolio Review Tips:
- Highlight relevant projects that demonstrate incident management, system monitoring, and continuous improvement skills
- Showcase user experience design considerations and performance optimization techniques
- Emphasize collaboration and cross-functional teamwork in your portfolio projects
Technical Challenge Preparation:
- Brush up on Python, Generative AI, and DevSecOps tools
- Practice incident management and system monitoring scenarios
- Prepare for behavioral questions focused on problem-solving, collaboration, and continuous improvement
ATS Keywords: (Organized by category)
- Programming Languages: Python, Java, Node.js
- Web Frameworks: N/A (focus on backend and DevOps)
- Server Technologies: N/A (focus on DevSecOps tools and incident management)
- Databases: N/A (focus on system monitoring and performance optimization)
- Tools: Git, Jira, Confluence, Prompt Engineering, Generative AI models
- Methodologies: Agile, DevSecOps, Software Development Methodologies
- Soft Skills: Analytical, problem-solving, collaboration, communication, continuous improvement mindset
📝 Enhancement Note: The interview process at DHL IT Services focuses on technical proficiency, problem-solving skills, and cultural fit. Prepare for coding challenges, behavioral questions, and team fit assessments to showcase your skills and align with the company's values.
🛠 Technology Stack & Web Infrastructure
Backend & Server Technologies:
- Python (primary programming language)
- Generative AI models and related use cases
- DevSecOps tools (e.g., Git, Jira, Confluence)
- Java and Node.js (secondary programming languages)
Development & DevOps Tools:
- Agile software development methodologies
- Continuous integration and continuous deployment (CI/CD) pipelines
- Code review, testing, and quality assurance practices
- Project management tools (Jira, Confluence)
📝 Enhancement Note: The technology stack for this role focuses on Python, Generative AI, and DevSecOps tools, with a strong emphasis on incident management, system monitoring, and continuous improvement.
👥 Team Culture & Values
Web Development Values:
- Quality & Innovation: Deliver high-quality products and continuously innovate to improve user experience
- Collaboration: Work effectively with agile teams and stakeholders to achieve common goals
- Continuous Learning: Stay up-to-date with the latest trends in Python, Generative AI, and DevSecOps tools
- Customer Focus: Understand and address user needs to enhance product quality and user experience
Collaboration Style:
- Agile & Cross-Functional: Collaborate with agile teams and stakeholders to deliver projects and improve products
- Code Review & Peer Programming: Participate in code reviews and pair programming to ensure code quality and knowledge sharing
- Knowledge Sharing: Contribute to a culture of continuous learning and improvement by sharing expertise and experiences with team members
📝 Enhancement Note: DHL IT Services fosters a collaborative, innovative, and customer-focused culture that encourages continuous learning and improvement. Their agile teams and cross-functional collaboration drive success in the logistics industry.
⚡ Challenges & Growth Opportunities
Technical Challenges:
- Incident Management: Develop and refine incident management skills to address tickets and ensure proper system monitoring
- System Monitoring: Improve system monitoring capabilities to proactively identify and address performance issues
- Continuous Improvement: Contribute to product development and enhancement through improvement ideas and user experience design considerations
- Emerging Technologies: Stay up-to-date with the latest trends in Python, Generative AI, and DevSecOps tools to drive continuous improvement and innovation
Learning & Development Opportunities:
- Technical Skill Development: Enhance skills in Python, Generative AI, and DevSecOps tools through training, workshops, and online resources
- Conference Attendance & Certification: Attend industry conferences and obtain relevant certifications to stay current with the latest trends and best practices
- Technical Mentorship & Leadership: Seek mentorship opportunities and develop leadership skills to drive team growth and success
📝 Enhancement Note: This role presents technical challenges and learning opportunities focused on incident management, system monitoring, and continuous improvement. By staying current with the latest trends and best practices, you can drive success and growth in your career at DHL IT Services.
💡 Interview Preparation
Technical Questions:
- Python & Generative AI: Demonstrate proficiency in Python, Generative AI models, and related use cases through coding challenges and technical discussions
- Incident Management: Discuss incident management experiences and strategies for addressing tickets and ensuring proper system monitoring
- Continuous Improvement: Explain improvement ideas and user experience design considerations for enhancing products and driving innovation
Company & Culture Questions:
- DHL IT Services: Research the company's history, mission, and values to demonstrate a strong understanding of their culture and commitment to digitalization and innovation
- Agile Methodologies: Discuss your experience with agile software development methodologies and their application in a multinational environment
- User Experience Impact: Explain how your technical skills and improvement ideas can enhance user experience and drive product success
Portfolio Presentation Strategy:
- Live Demonstration: Present relevant projects with live demos and technical walkthroughs, highlighting incident management, system monitoring, and continuous improvement skills
- Code Explanation: Explain code quality, commenting, and version control processes to demonstrate your technical proficiency and attention to detail
- User Experience Showcase: Showcase user experience design considerations and performance optimization techniques to emphasize your commitment to enhancing product quality and user experience
📝 Enhancement Note: Prepare for technical questions focused on Python, Generative AI, incident management, and continuous improvement. Research DHL IT Services' culture and values to demonstrate a strong fit and commitment to driving success in the logistics industry.
📌 Application Steps
To apply for this DevOps Engineer (Python, Gen AI) position at DHL IT Services:
- Customize Your Portfolio: Highlight relevant projects that demonstrate incident management, system monitoring, and continuous improvement skills, with a focus on Python, Generative AI, and DevSecOps tools
- Optimize Your Resume: Emphasize project highlights and technical skills relevant to the role, with a focus on Python, Generative AI, and DevSecOps tools
- Prepare for Technical Challenges: Brush up on Python, Generative AI, and DevSecOps tools, and practice incident management and system monitoring scenarios
- Research DHL IT Services: Understand the company's history, mission, values, and commitment to digitalization and innovation to demonstrate a strong cultural fit
⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates should have knowledge of Python, Generative AI models, and DevSecOps tools. Strong skills in software development methodologies and the ability to work independently in a multinational environment are essential.