
Cloud Specialist
24 hours ago
The position of Cloud Infrastructure Specialist involves the design, deployment, and operation of production-grade cloud infrastructure using AWS services. The role demands a high level of expertise in managing AWS services at scale in production environments.
Key Responsibilities:- Design and deploy cloud infrastructure: Utilize a broad set of AWS services including VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB for infrastructure management.
- Operate and scale applications: Ensure high availability, fault tolerance, and disaster recovery readiness for multi-region, production-facing applications.
- Implement DevOps and DevSecOps practices: Automate deployments, security, compliance, and monitoring using automation-first approaches.
- Manage infrastructure as code (IaC): Leverage Terraform and Ansible for IaC.
- Containerization and orchestration: Use Docker, Docker Compose, and Kubernetes for container orchestration.
- Linux system administration: Administer and optimize Linux systems (Ubuntu/Debian) focusing on performance, security, and automation.
- CI/CD pipeline management: Build and maintain CI/CD pipelines using GitHub Actions or Jenkins.
- Scripting and automation: Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
- Network configuration and management: 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 and data pipeline automation: Use Airflow for workflow orchestration and data pipeline automation.
- 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.
- 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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