
Senior Cloud Systems Engineer
3 days ago
We empower our clients to unlock the value of their data and applications, driving outcomes that benefit both business and society.
Our expertise lies in Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—strategically driving innovation and value for clients across industries.
Key Responsibilities:- Design, implement, and maintain CI/CD pipelines using GitLab CI, AWS Code Pipeline, and other DevOps tools.
- Manage and optimize cloud infrastructure and services in AWS, leveraging native services like EC2, Lambda, S3, CloudWatch, etc.
- Develop and maintain automation scripts using Bash, Python, or other scripting languages to streamline operations.
- Implement and manage containerized applications using Docker, Kubernetes, and/or OpenShift.
- Use AWS CDK (Cloud Development Kit) to define cloud infrastructure in code and manage deployments.
- Troubleshoot and resolve issues related to AWS services, cloud security, deployment processes, and system performance.
- Collaborate with development and QA teams to ensure efficient integration and deployment processes.
- Monitor, log, and improve infrastructure reliability, scalability, and performance.
Required Skills and Qualifications:
- 5+ years of professional experience in DevOps practices and cloud engineering.
- Hands-on experience with AWS Cloud services and infrastructure management.
- 2+ years of scripting experience using Bash, Python, or similar languages.
- 2+ years of working with CI/CD tools such as GitLab CI, AWS Code Pipeline, etc.
- 1+ year of hands-on experience with containerization technologies such as Docker, Kubernetes, or OpenShift.
- Proven ability to troubleshoot and resolve AWS Cloud-related issues.
- 2+ years of experience in deploying and supporting AWS-native applications.
- 1+ year of experience using AWS CDK to provision infrastructure as code (IaC).
Empowering clients to drive innovation and value across industries through strategic digital transformation, enterprise AI, data analytics, and product engineering.
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