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Urgent! Cloud Engineer (Gen AI) Job Opening In Kuala Lumpur – Now Hiring Maybank

Cloud Engineer (Gen AI)



Job description

Design, implement, and manage cloud-based infrastructures to support scalable and secure applications, with a focus on deployments involving AI technologies.

Key Responsibilities

  • Cloud Architecture Design: Develop and maintain scalable, secure cloud solutions that support complex deployments.

  • Service Management: Implement, monitor, and manage cloud services across multiple platforms (AWS, Azure, Google Cloud), including compute, networking, storage, and more.

    Ensure optimal allocation and utilization of cloud resources.

  • Automation: Automate cloud deployments and configuration management using tools like Terraform, Ansible, and Kubernetes to enhance operational efficiencies and reduce the potential for human error.

  • Security and Compliance: Apply and maintain security standards across the cloud infrastructure, including managing firewalls, VPNs, and access controls.

    Ensure compliance with industry regulations and data protection standards.

  • Performance Monitoring: Monitor cloud infrastructure performance, implement strategies for logging, monitoring, and alerting to detect and resolve issues promptly.

  • Disaster Recovery and Backup: Design and implement disaster recovery plans to ensure continuous availability and rapid recovery of applications in case of failure.

  • Cost Optimization: Monitor and optimize spending to ensure efficient use of cloud resources.

    Use tools and strategies to reduce costs without compromising on performance or security.

  • Collaboration and Support: Work closely with IT teams, developers, and business units to provide cloud solutions and support.

    Educate team members on cloud technologies and best practices.

Requirements & Skills

Not all mandatory, but should have touched maximum.

1.

Core Technical Skills

  • Programming Languages: Proficiency in scripting and programming languages such as Python, Ruby, Java, or Bash is crucial for automation and developing cloud applications.

  • Infrastructure as Code (IaC): Expertise in using IaC tools like Terraform, Ansible, and AWS CloudFormation to automate the setup and management of cloud infrastructure.

  • Containerization and Orchestration: Skills in Docker for containerization and Kubernetes or Docker Swarm for orchestration to manage containerized applications efficiently.

  • Networking: Deep understanding of network technologies including DNS, TCP/IP, SSL, DHCP, Load Balancing, and VPNs.
  • AWS: Skills in managing and deploying on AWS services such as EC2, S3, RDS, ELB, ECS, EKS, Lambda, and VPC.

  • Azure: Experience with Azure services including VMs, App Services, and other Azure offerings.

  • Google Cloud Platform (GCP): Knowledge of GCP services like Compute Engine, App Engine, Kubernetes Engine, Cloud Functions, and BigQuery.

2.

Security Skills

  • Cloud Security: Knowledge of security best practices and industry security standards such as ISO 27001, SOC 2, or PCI DSS.

  • Identity and Access Management (IAM): Experience with IAM policies and tools to manage access to cloud resources securely.

  • Data Encryption and Security Protocols: Understanding of encryption techniques and protocols to secure data in transit and at rest.

3.

Certifications

  • Vendor-Specific Certifications: AWS Certified Solutions Architect – Professional; Google Professional Cloud Architect; Google Professional Cloud DevOps Engineer.

  • General Cloud Certifications: Certified Cloud Security Professional (CCSP); CompTIA Cloud+.

  • Networking and Security Certifications: Cisco Certified Network Associate or Professional (CCNA/CCNP); CISSP.

4.

DevOps Practices

  • CI/CD: Skills in setting up and maintaining CI/CD pipelines using Jenkins, GitLab CI, CircleCI.

  • Monitoring and Logging: Proficiency with tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or similar.

5.

Performance Optimization

  • Resource Management: Skills in cost optimization, performance tuning, and ensuring high availability and fault tolerance in cloud deployments.

  • Scalability: Experience in designing systems that scale horizontally and vertically based on application load.

Educational Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

  • Professional certifications related to cloud architecture, such as AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Google Professional Cloud Architect.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Banking

Location and Additional Details

  • Location: Kuala Lumpur, Malaysia
  • Compensation: MYR5,000.00–MYR13,000.00 per month
  • Work type: Full-time
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Required Skill Profession

It & Technology



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