
Senior Cloud Architect
1 day ago
We are seeking a seasoned Cloud Engineer with expertise in designing, automating, and operating production-grade cloud infrastructure.
This role requires a strong background in cloud computing, DevOps/DevSecOps practices, and infrastructure as code.
Key Responsibilities:- Design, deploy, and manage cloud infrastructure using a broad set of AWS services, including VPC, IAM, RDS, EC2, ECS, S3, CloudWatch, and more.
- Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and disaster recovery readiness.
- Implement automation-first approaches for deployments, security, compliance, and monitoring.
- Manage infrastructure as code using Terraform and Ansible.
- Leverage containerization & orchestration tools such as Docker, Kubernetes, and Compose.
- Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
- Build and maintain CI/CD pipelines with Github Actions or Jenkins.
- Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
- Implement and manage network configurations, including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
- Leverage monitoring and observability tools, such as Grafana, AWS CloudWatch, and APM solutions.
- Work with Apache 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, Kubernetes, and Compose 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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