AWS CloudOps Engineer

BTI Solutions • Plano, TX

1d

About The Position

AWS CloudOps Engineer

Senior CloudOps Engineer with 6+ years of experience operating carrier-grade AWS and hybrid cloud platforms supporting telecom, data engineering, and high-throughput network workloads. Specialized in AWS–on-prem integration, private networking, secure data movement, and cost-controlled production operations.

Requirements

• 6+ years of experience operating carrier-grade AWS and hybrid cloud platforms supporting telecom, data engineering, and high-throughput network workloads.
• Specialized in AWS–on-prem integration, private networking, secure data movement, and cost-controlled production operations.
• EC2, Auto Scaling, ECS, EKS, Lambda
• VPC, Transit Gateway, PrivateLink, ALB, NLB, Route 53, VPN, Direct Connect
• S3, EBS, EFS, Glacier
• RDS, Aurora, DynamoDB
• IAM, KMS, Secrets Manager, GuardDuty, CloudTrail, Config
• Terraform, CloudFormation, GitHub Actions, Jenkins
• Linux, Bash, networking, firewalls, SFTP, private routing

Responsibilities

• Designed and operated hybrid AWS + on-prem architectures using Site-to-Site VPN, Direct Connect, Transit Gateway, and private routing for telecom data flows
• Built secure, isolated VPC environments for multiple customers using VPC peering, PrivateLink, NLB/ALB, and Route 53 private DNS
• Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via SFTP, private links, and batch pipelines
• Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer-facing services
• Implemented network-level security using Security Groups, NACLs, firewall rules, private subnets, and endpoint policies
• Built high-availability and failover designs across Availability Zones and regions for customer-critical services
• Led incident response and RCA for network failures, SFTP outages, latency issues, and data pipeline disruptions
• Automated infrastructure using Terraform and CloudFormation for VPCs, routing, IAM, and service deployments
• Implemented end-to-end observability for network, compute, and data pipelines using CloudWatch, Prometheus, and centralized logging
• Controlled AWS and data-transfer costs through right-sizing, Savings Plans, S3 lifecycle policies, and cost dashboards
• Designed backup and DR for both cloud and hybrid workloads using snapshots, replication, and cross-region restores

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed