Gen AI Cloud Engineer

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.