
Cloud Infrastructure Engineer
7 days ago
We are seeking an experienced Cloud Infrastructure Specialist to lead the design, automation, and scaling of our cloud infrastructure for real-time hotel distribution across the globe.
Tech Requirements:- Cloud & Infrastructure: AWS (ECS, EC2, RDS, Lambda, Route53, SQS, IAM), Azure
- IaC & Automation: CDK, Terraform, Ansible, Helm
- CI/CD: Bitbucket Pipeline, Jenkins, GitHub
- Observability: Prometheus, Grafana, CloudWatch, ELK
- Networking: VPC, Subnets, NAT Gateway, Route Tables, Security Groups
Required Skills & Qualifications:
- 5+ years in DevOps/SRE roles managing large-scale AWS deployments
- Deep experience with CDK/Terraform, ECS/EKS, Docker
- Strong knowledge of cloud networking, NAT, routing, and multi-AZ setups
- Experience in high-availability, production-grade environments (24x7x365)
- Hands-on with observability tools (Grafana, CloudWatch, ELK, Prometheus)
- Proficient in scripting (Python, Bash); automation-first mindset
- Strong in documentation, debugging, and async remote collaboration
- Design and maintain highly available, fault-tolerant infrastructure across AWS
- Lead automated deployments of infrastructure and services across environments
- Design and manage VPCs, subnets, route tables, and network security policies
- Drive capacity planning, auto-scaling, and resource optimization for 24x7x365 systems
- Implement CI/CD pipelines, GitOps practices, and secure deployment workflows
- Build proactive monitoring, alerting, and auto-healing for critical services
- Lead incident management, RCA, and improve system uptime & SLAs
- Enforce security best practices, manage IAM policies, and support SOC2/pentest readiness
- Use AI/LLM tools (Claude, Cursor) to automate infrastructure and diagnostics
- Optimize cloud usage and spend via auto-scaling, reserved instances, and usage
Bonus Points:
- Knowledge of MongoDB, ScyllaDB, Redis, DynamoDB & Python, Bash
- Familiarity with Docker, Kubernetes, Kinesis, Git, S3
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