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AWS Cloud Engineer

Simple Solutions
Posted 4 months ago, valid for 15 days
Location

Raritan, Somerset 08869, NJ

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are looking for an experienced AWS Engineer with 8-10+ years of hands-on AWS engineering experience to design, build, and deploy a mirrored AWS environment.
  • The role requires expertise in AWS architecture, Control Tower, AWS Config, and DevOps practices, along with strong Python coding skills.
  • Candidates should be able to work onsite in Raritan, NJ, and collaborate closely with internal teams to ensure compliance with enterprise standards.
  • The position offers a competitive salary, commensurate with experience, and focuses on implementing secure and scalable infrastructure.
  • Preferred qualifications include AWS certifications and experience with monitoring tools, alongside a solid background in DevOps and automated deployments.

Overview

We are seeking an experienced AWS Engineer with strong architectural and hands-on engineering expertise to help design, build, and deploy a mirrored AWS environment based on our current production ecosystem. This role involves standing up a new AWS landing zone, implementing secure and scalable infrastructure, and enabling automated deployments through best-in-class IaC and DevOps practices.

This is a highly technical, onsite role requiring close collaboration with internal engineering, security, and operations teams to ensure all cloud services, policies, and configurations align with enterprise standards.


High level overview of skills needed:
    • AWS Services Architecture
      • Control Tower
      • AWS Config
      • IAM Policies (SCP, IDC, Identity)
      • CloudFormation
      • AWS networking and VPC configuration
    • Dev/Ops skills to deploy and manage a new AWS network
    • Terraform/IaC skills
    • Python coding skills


Prefer NJ based candidates who can go to the office once a week, Raritan NJ

Responsibilities

  • Architect and build a new AWS environment that mirrors the existing production deployment.

  • Develop and configure AWS Control Tower landing zones, guardrails, and multi-account governance.

  • Implement AWS Config, resource compliance rules, and continuous monitoring across the new environment.

  • Create, refine, and enforce IAM policies, including SCPs, identity permissions, and role-based access models.

  • Build infrastructure using CloudFormation and Terraform to ensure fully automated, repeatable deployments.

  • Design and configure AWS networking, including VPCs, subnets, routing, security groups, peering, transit gateways, and hybrid connectivity (if needed).

  • Support and enhance DevOps pipelines used to deploy, test, and manage the new AWS environment.

  • Write, maintain, and optimize Python scripts for automation, resource configuration, and operational tooling.

  • Collaborate with security, operations, and application teams to validate environment integrity and readiness.

  • Troubleshoot cloud infrastructure issues and implement cloud engineering best practices.


Required Skills & Experience

  • 8-10+ years of hands-on AWS engineering experience in enterprise-scale environments.

  • Expertise in AWS architecture, multi-account environments, and secure cloud design.

  • Strong experience with Control Tower, AWS Config, and centralized governance.

  • Deep understanding of IAM, SCPs, identity federation, and cloud security best practices.

  • Proficiency in CloudFormation and Terraform (IaC).

  • Advanced knowledge of AWS networking (VPC, routing, security groups, NACLs, Direct Connect, VPN).

  • Solid DevOps background, including CI/CD pipelines, automated deployments, and environment management.

  • Strong Python programming for automation and tooling.

  • Ability to work onsite, collaborate cross-functionally, and deliver quality infrastructure quickly.


Preferred Qualifications

  • AWS Certifications (Solutions Architect, DevOps Engineer, or Security Specialty)

  • Experience migrating or replicating enterprise cloud environments.

  • Knowledge of monitoring, observability, and logging tools (CloudWatch, OpenSearch, etc.).






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