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Cloud Engineer (Gen AI)

Cloud Engineer (Gen AI)

MaybankKuala Lumpur, Kuala Lumpur, Malaysia
30+ hari lalu
Penerangan pekerjaan

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
  • #J-18808-Ljbffr

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