Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and automate AWS cloud infrastructure and services to support digital and lab applications, ensuring scalability, security, and reliability.
Develop and maintain CI/CD pipelines and containerized environments (Docker on EKS/ECS/Fargate) to enhance deployment velocity and operational efficiency.
Use AI-assisted engineering tools responsibly to improve scripting, documentation, automation, and troubleshooting while driving continuous improvement across teams.
Minimum Requirements
4–7 years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.
Hands-on experience with AWS cloud services and Infrastructure as Code (Terraform, CloudFormation, or AWS CDK).
Experience with CI/CD tools (GitHub Actions, GitLab CI, Azure DevOps, or Jenkins) and container orchestration (Docker, EKS, ECS, or Kubernetes).
Good scripting skills in Python, Bash or Shell; familiarity with Linux administration and version control (Git).
Ideal Candidate Profile
Experienced in building and operating secure, scalable cloud platforms with a strong focus on automation and reliability in an enterprise environment.
Familiarity with cloud observability, security best practices, cost optimization, and migration or cloud transformation projects is advantageous.
Comfortable integrating AI-assisted engineering tools responsibly to enhance productivity while maintaining compliance and quality standards.