Senior DevOps Engineer

PSL Group; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

PSL Group is seeking a Cloud DevOps Engineer to architect, deploy, and automate cloud infrastructure on AWS, focusing on scalability, reliability, and performance. You will design and optimize CI/CD pipelines, champion IaC practices, and evaluate AI-driven tooling to accelerate delivery.

You will collaborate with Development, Product and Security teams, perform code reviews, and maintain robust monitoring and incident response practices across cloud environments.

Qualifications

• University or college Computer Science degree or equivalent experience
• 5-7 years of experience in web development, deployment and support
• 3 - 5 years of experience working with AWS cloud technologies and DevOps.
• Experience working in a virtual cloud environment, implementing various AWS cloud solutions, as well as experience troubleshooting enterprise systems/technology solutions.
• Experience with Terraform, CloudFormation, Ansible.
• Experience with AI-assisted development or DevOps tooling (Claude Code, GitHub Copilot, LLM-based CI/CD agents) or strong interest in adopting it.
• Familiarity with AIOps concepts, AI-powered observability (e.g. Datadog, New Relic, Dynatrace) and agentic AI concepts such as MCP and tool use.
• Comfortable authoring and maintaining prompts or agent "skills" that drive automated workflows.
• Excellent written and verbal communication skills.
• Experienced in Agile/SCRUM software development methodology

Responsibilities

• Architect, develop and automate our cloud infrastructure on AWS using Infrastructure-as-Code (IAC) tools like Terraform, OpenTofu, Ansible and CloudFormation, ensuring scalability, reliability and performance.
• Design, implement and optimize the Agentic CI/CD pipeline to accelerate software delivery following shift left SDLC best practices.
• Define best practices for cloud solutions, including multi-region and global architecture, and deploy Cloud tools to optimize our AWS services and usage.
• Evaluate and pilot Generative AI and agentic services (Bedrock, AgentCore, Claude) for internal developer tooling.
• Maintain the AI agent skills and runbooks used for automated incident investigation and root-cause analysis.
• Implement and maintain monitoring, logging and alerting solutions to ensure the health and performance of cloud environments and applications running in the cloud following Site Reliability best practices.
• Evaluate and adopt AI-powered observability capabilities, such as anomaly detection and alert correlation, to reduce noise and troubleshoot/assess performance and scalability issues.
• Work with the Development, Product and Security teams on DevOps initiatives.
• Perform code reviews for standards, quality assurance and security audit purposes.
• Participate actively in investigating any operational issues in applications.
• Provide hands-on application design and coding for the complex or sensitive parts of the project.
• Consult with other development teams and generally contribute your skills wherever required.
• Communication: responsibility, initiative, taking pride & ownership in the work delivered.
• Maintain the applications, keeping them up to date through automation.

Skills

AWS

DevOps

AI tooling

Communication

Agile/SCRUM

Education

Computer Science degree or equivalent experience

Tools

Terraform

CloudFormation

Ansible

Job description

Summary

The Cloud DevOps Engineer will be responsible for deploying and supporting the applications. The Cloud DevOps Engineer will also be responsible for constantly reviewing and improving applications health to ensure optimal performance.

Summary

The Cloud DevOps Engineer will be responsible for deploying and supporting the applications. The Cloud DevOps Engineer will also be responsible for constantly reviewing and improving applications health to ensure optimal performance.

Responsibilities

• Architect, develop and automate our cloud infrastructure on AWS using Infrastructure-as-Code (IAC) tools like Terraform, OpenTofu, Ansible and CloudFormation, ensuring scalability, reliability and performance.
• Design, implement and optimize the Agentic CI/CD pipeline to accelerate software delivery following shift left SDLC best practices.
• Define best practices for cloud solutions, including multi-region and global architecture, and deploy Cloud tools to optimize our AWS services and usage.
• Evaluate and pilot Generative AI and agentic services (Bedrock, AgentCore, Claude) for internal developer tooling.
• Maintain the AI agent skills and runbooks used for automated incident investigation and root-cause analysis.
• Implement and maintain monitoring, logging and alerting solutions to ensure the health and performance of cloud environments and applications running in the cloud following Site Reliability best practices.
• Evaluate and adopt AI-powered observability capabilities, such as anomaly detection and alert correlation, to reduce noise and troubleshoot/assess performance and scalability issues.
• Work with the Development, Product and Security teams on DevOps initiatives.
• Perform code reviews for standards, quality assurance and security audit purposes.
• Participate actively in investigating any operational issues in applications.
• Provide hands-on application design and coding for the complex or sensitive parts of the project.
• Consult with other development teams and generally contribute your skills wherever required.
• Communication: responsibility, initiative, taking pride & ownership in the work delivered.
• Maintain the applications, keeping them up to date through automation.

Qualifications

• University or college Computer Science degree or equivalent experience
• 5-7 years of experience in web development, deployment and support
• 3 - 5 years of experience working with AWS cloud technologies and DevOps.
• Experience working in a virtual cloud environment, implementing various AWS cloud solutions, as well as experience troubleshooting enterprise systems/technology solutions.
• Experience with Terraform, CloudFormation, Ansible.
• Experience with AI-assisted development or DevOps tooling (Claude Code, GitHub Copilot, LLM-based CI/CD agents) or strong interest in adopting it.
• Familiarity with AIOps concepts, AI-powered observability (e.g. Datadog, New Relic, Dynatrace) and agentic AI concepts such as MCP and tool use.
• Comfortable authoring and maintaining prompts or agent "skills" that drive automated workflows.
• Excellent written and verbal communication skills.
• Experienced in Agile/SCRUM software development methodology