Job Description

Gen AI Cloud Engineer

Important Information

Location: Malaysia

Key Responsibilities

 Cloud Architecture Design: Develop and maintain scalable, secure cloud & On Prem solutions that support complex deployments, including those using AI and machine learning models. Design architectures that optimize for cost, performance, and security.

 Service Management: Implement, monitor, and manage cloud services across multiple platforms (AWS, Azure, Google Cloud), & On Prem 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 & On Prem environments.  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. 

2. Cloud Platform Expertise:  Amazon Web Services (AWS): Skills in managing and deploying on AWS services such as EC2, S3, RDS, ELB, ECS, EKS, Lambda, and VPC.  Microsoft Azure: Experience with Azure services including VMs, App Services, Azure SQL Database, Azure Kubernetes Service, and Azure Functions.  Google Cloud Platform (GCP): Knowledge of GCP services like Compute Engine, App Engine, Kubernetes Engine, Cloud Functions, and BigQuery.

3. 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

4. Certifications:  Vendor-Specific Certifications:  AWS Certified Solutions Architect – Professional  AWS Certified DevOps Engineer – Professional  Microsoft Certified: Azure DevOps Engineer Expert  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)  Certified Information Systems Security Professional (CISSP)

5. DevOps Practices:  Continuous Integration/Continuous Deployment (CI/CD): Skills in setting up and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI.  Monitoring and Logging: Proficiency with tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or similar technologies to monitor cloud resources and applications. 6. 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 efficiently scale horizontally and vertically based on application load.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Job Requirements