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Cloud DevOps Engineer

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AI Summary

Design, build, and maintain cloud-native infrastructure on AWS, supporting CI/CD pipelines, and ensuring efficient deployment, scalability, and reliability of applications running on Docker and Kubernetes platforms.

Key Highlights
Design and implement CI/CD pipelines
Manage and optimize containerized workloads using Docker and Kubernetes
Implement and maintain highly available and scalable cloud infrastructure on AWS
Develop and enforce Infrastructure as Code using Terraform/CloudFormation/AWS CDK
Troubleshoot infrastructure and deployment issues
Technical Skills Required
AWS Docker Kubernetes Terraform CloudFormation AWS CDK Python Bash PowerShell GitHub Actions GitLab CI Jenkins AWS CodePipeline Prometheus Grafana ELK/EFK stacks
Benefits & Perks
Attractive salary package
Training and certification sponsorship
Dynamic, collaborative, and engineering-driven culture

Job Description


About the Role We are seeking a proactive and skilled DevOps Engineer to join our infrastructure and cloud operations team. You will play a key role in designing, implementing, and maintaining cloud-native infrastructure on AWS, supporting CI/CD pipelines, and ensuring efficient deployment, scalability, and reliability of applications running on Docker and Kubernetes platforms.

Key Responsibilities
  • Design, build, and maintain CI/CD pipelines to support automated testing, deployment, and monitoring.
  • Manage and optimize containerized workloads using Docker and Kubernetes (EKS preferred).
  • Implement and maintain highly available and scalable cloud infrastructure on AWS.
  • Develop and enforce IaC using Terraform / CloudFormation / AWS CDK.
  • Assist development teams in containerization best practices and deployment strategies.
  • Monitor system performance, reliability, and cost optimization across cloud environments.
  • Implement logging, alerting, and observability using CloudWatch, Prometheus, Grafana, or similar tools.
  • Ensure security best practices across cloud services, networking, IAM, and deployment pipelines.
  • Troubleshoot infrastructure and deployment issues across production and staging environments.
  • Participate in on-call rotation (if required) and contribute to incident response and root cause analysis.

Requirements
  • Degree in Computer Science, Engineering, or equivalent experience.
  • 3–8 years of DevOps, Cloud Engineer, or SRE experience
  • Strong hands-on experience with AWS services (EC2, VPC, ECS/EKS, Lambda, RDS, S3, IAM, CloudWatch).
  • Proficient in Docker, containerization workflows, and Kubernetes operations.
  • Experience with CI/CD tools: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, etc.
  • Strong scripting skills (Python, Bash, or PowerShell).
  • Solid understanding of networking fundamentals (DNS, load balancing, routing, security groups).
  • Hands-on experience with Infrastructure-as-Code (Terraform preferred).
  • Experience with monitoring and observability tools (Prometheus, Grafana, ELK/EFK stacks).

Good to Hae

  • Knowledge of microservices architecture and distributed systems.
  • Experience with secrets management (HashiCorp Vault, AWS Secrets Manager).
  • Exposure to GitOps tooling (ArgoCD, FluxCD).
  • AWS Certified DevOps Engineer or Solutions Architect.

What We Offer
  • Attractive salary package + AWS.
  • Opportunity to work with modern DevOps and cloud-native technologies.
  • Training and certification sponsorship (AWS, Kubernetes).
  • Dynamic, collaborative, and engineering-driven culture.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

 

This authorizes us to:
  • Contact you about potential opportunities.
  • Delete personal data as it is not required at this application stage.
  • All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.


    Elane Yap Theng Yu- R1989397
    ScienTec Consulting Pte Ltd - 11C5781

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