AWS Cloud Engineer at Boston, MA

Hybrid in Boston, MA, US • Posted 2 days ago • Updated 1 day ago
Contract Corp To Corp
Contract Independent
Contract W2
Hybrid
$67 - $72/hr
Fitment

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Job Details

Skills

  • AWS Cloud Engineer
  • AWS Multi-Region Architecture & Networking
  • 10+ years of experience as a DevOps - Cloud Engineer or AWS Infrastructure Engineer
  • Strong AWS networking expertise: VPC - TGW - Route53 - VPN - Direct Connect - SGs - NACLs
  • UNIX is required
  • Database admin experience is required
  • Experience with multi-region - HA - DR architectures.
  • Proficient in EC2 - ECS (Fargate / EC2 Launch Types) - Redshift.
  • Strong Terraform / Cloud Formation scripting experience.
  • Strong experience with Python or Bash for automation.

Summary

Role : AWS Cloud Engineer

Location: Boston, MA (Hybrid, 3 days a week onsite from Boston, MA)

Duration: 6-12+ Months

Rate: $67-$72/hr

 

Client wants the consultant to work 3 days a week onsite from Boston, MA Office

 

Key Responsibilities

AWS Multi-Region Architecture & Networking

Design, implement, and optimize multi-region VPC architectures, peering, Transit Gateway, and routing policies.

Configure and manage security groups, NACLs, route tables, NAT gateways, IGWs, and cross-region networking.

Ensure high availability (HA) and disaster recovery (DR) readiness across multiple AWS regions.

Support network connectivity for hybrid environments (VPN, Direct Connect).

 

Required Skills & Experience

Technical Skills

10+ years of experience as a DevOps, Cloud Engineer, or AWS Infrastructure Engineer.

Strong AWS networking expertise: VPC, TGW, Route53, VPN, Direct Connect, SGs, NACLs.

UNIX is required

Database admin experience is required

Experience with multi-region, HA, DR architectures.

Proficient in EC2, ECS (Fargate/EC2 Launch Types), Redshift.

Strong Terraform / CloudFormation scripting experience.

Strong experience with Python or Bash for automation.

Hands-on experience setting up CI/CD pipelines.

Experience with monitoring/observability tools: CloudWatch, OpenSearch, Grafana/Prometheus, Datadog, etc.

Familiarity with cloud cost optimization and tagging strategies.

 

 

 

Thank You,

Augustin Ahmed

Sr Resource Manager

Parmesoft Inc,

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90929690
  • Position Id: AG_AWS_MA
  • Posted 2 days ago
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