AWS DevOps Engineer
Accountabilities
Design, implement, and maintain scalable, secure, and reliable AWS infrastructure.
Lead cloud migration and modernization projects, moving legacy environments to AWS.
Build, maintain, and optimize CI/CD pipelines and infrastructure automation.
Develop deployment architectures that support high availability, fault tolerance, disaster recovery, performance, and security.
Establish and improve DevOps workflows and internal processes to enhance project delivery and collaboration.
Implement and manage containerized environments using Kubernetes and Docker.
Automate software delivery using tools such as GitHub Actions, AWS CodeSuite, and CircleCI.
Apply AWS Well-Architected Framework principles to infrastructure and deployment decisions.
Troubleshoot complex infrastructure, deployment, and performance issues.
Keep up with developments in Data, AI, and Machine Learning, identifying opportunities to apply relevant technologies.
Mentor junior team members and encourage knowledge sharing.
Requirements
At least 5 years of hands-on experience in DevOps and AWS infrastructure.
Strong knowledge of AWS services, including EC2, S3, RDS, Lambda, CloudFormation, EKS, and ECS.
Proven experience delivering AWS migration and modernization projects.
Advanced expertise in Kubernetes and Docker.
Experience building and maintaining CI/CD pipelines using GitHub Actions, AWS CodeSuite, CircleCI, or similar tools.
Strong Infrastructure as Code skills with Terraform and/or CloudFormation.
Solid understanding of AWS Well-Architected Framework principles and best practices.
Strong troubleshooting, analytical, and problem-solving abilities.
A proactive mindset, strong sense of ownership, and ability to work collaboratively.
Advanced English communication skills.
AWS Professional or Specialty certifications are highly valued.
Exposure to Data, Machine Learning, or AI technologies is considered an advantage.
Benefits
Full-time, long-term contractor opportunity.
Remote work arrangement.
Opportunity to contribute to cloud migration, modernization, and other innovative customer projects.
Exposure to modern AWS services, cloud-native technologies, and emerging developments in Data, AI, and Machine Learning.
Opportunities to mentor colleagues and contribute to collaborative, knowledge-sharing practices.
How Jobgether works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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