
Senior Cloud Infrastructure Specialist
2 weeks ago
We are currently seeking an experienced Cloud Engineer to design, deploy and manage scalable cloud infrastructure utilizing AWS services.
The ideal candidate will have a strong background in DevOps and Infrastructure as Code practices, monitoring and container orchestration.
- Designing and deploying infrastructure across multiple regions using AWS services such as VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
- Operating and scaling multi-region applications with high availability, fault tolerance and disaster recovery readiness.
- Implementing automation-first approaches for deployments, security, compliance and monitoring using DevOps practices.
- Managing Infrastructure as Code (IaC) using Terraform and Ansible.
- Leveraging containerization and orchestration tools like Docker, Docker Compose and Kubernetes.
- Administering and optimizing Linux systems, focusing on performance, security and automation.
- Building and maintaining CI/CD pipelines with GitHub Actions or Jenkins.
- Developing Python, Bash and Shell scripts for automation, tooling and system orchestration.
- Implementing network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity and firewalls.
- Leveraging monitoring and observability tools such as Grafana, AWS CloudWatch and APM solutions.
- Collaborating with cross-functional teams for technical guidance, troubleshooting and performance optimization.
Required Skills & Qualifications:
- 2-3 years of experience in DevOps, Cloud Engineering or related fields.
- Proven track record of managing AWS services at scale in production environments.
- Expertise in Terraform, Ansible and IaC practices.
- Strong Linux administration skills.
- Hands-on experience with Docker, Docker Compose and Kubernetes.
- Proficiency in scripting languages (Python, Bash, Shell).
- Experience with CI/CD pipelines.
- Knowledge of networking fundamentals.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
Nice to Have:
- Exposure to AI/ML-based productivity tools.
- Hands-on experience with APM tools.
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