
Cloud Infrastructure Expert
1 day ago
We are seeking a seasoned cloud expert to join our organization. This role requires expertise in designing, automating, and operating production-grade cloud infrastructure using AWS services.
Key Responsibilities:
- Infrastructure Design: Utilize a broad set of AWS services, including VPC, IAM, RDS, EC2, ECS, S3, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB for building resilient systems across multi-region environments.
- System Operations: Ensure high availability, fault tolerance, and DR readiness for multi-region, production-facing applications.
- Automation and Security: Implement DevOps & DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
- Infrastructure Management: Manage Infrastructure as Code (IaC) using Terraform and Ansible.
- Containerization and Orchestration: Leverage containerization & orchestration tools such as Docker, Docker Compose, and Kubernetes.
- Linux Administration: Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
- CI/CD Pipelines: Build and maintain CI/CD pipelines with GitHub Actions or Jenkins.
- Scripting and Automation: Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
- Network Configuration: Implement and manage network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
- Monitoring and Observability: Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions (New Relic, Datadog).
- Workflow Orchestration: Work with Airflow for workflow orchestration and data pipeline automation.
Requirements:
- Minimum 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 (Ubuntu/Debian preferred).
- Hands-on experience with Docker, Docker Compose, and Kubernetes for container orchestration.
- Proficiency in scripting languages (Python, Bash, Shell).
- Experience with CI/CD pipelines (GitHub Actions preferred).
- Knowledge of networking fundamentals (LAN, WAN, IPv4, IPv6, VPNs, Firewalls).
- Experience operating multi-node Elasticsearch & Kibana clusters.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
Nice to Have:
- Exposure to AI/ML-based productivity tools for DevOps workflows.
- Hands-on experience with APM tools such as New Relic or Sentry.
- Experience managing on-premise rack servers in hybrid environments.
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