
Senior Cloud Systems Specialist
4 days ago
We are seeking a Cloud Engineer with expertise in designing, automating, and operating production-grade cloud infrastructure. This role requires a strong background in AWS services, DevOps/DevSecOps practices, Infrastructure as Code, monitoring, and container orchestration.
The engineer will be responsible for building resilient, secure, and scalable systems across multi-region environments.
Key Responsibilities:
- Design and Deployment: Design, deploy, and manage infrastructure using a broad set of AWS services including VPC, IAM, RDS, EC2, ECS, S3, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, and ELB.
- Operation and Scalability: Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and DR readiness.
- 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.
- System Administration: Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
- CICD Pipeline Development: Build and maintain CI/CD pipelines with GitHub Actions or Jenkins.
- Scripting and Tooling: 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.
- Compliance and Backup: Ensure compliance with SOC2 standards and manage cloud DR/backup strategies.
- Team Collaboration: Collaborate with cross-functional teams, providing technical guidance, troubleshooting, and performance optimization.
- Engineering Efficiency: Explore AI-assisted engineering tools to improve development and automation efficiency.
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