AWS Cloud Platform Engineer -- Hybrid -- Only W2 Profiles

Job Title: Senior AWS Cloud Platform Engineer

Location: Naperville, IL
Work Model: Hybrid – Remote Monday & Friday | Onsite Tuesday through Thursday

Job Overview

We are seeking a highly skilled Senior AWS Cloud Platform Engineer with strong expertise in DevOps, Cloud Platform Engineering, Kubernetes, AWS, GitOps, CI/CD, and Infrastructure as Code.

The ideal candidate will be a hands-on platform engineer who can design, deploy, automate, and operate scalable cloud-native platforms. This role requires someone who continuously identifies opportunities to automate manual processes, improve platform reliability, reduce operational effort, and build internal engineering capabilities.

Key Responsibilities

Kubernetes & Container Platform Engineering

• Deploy, manage, and troubleshoot workloads across AWS EKS and Azure AKS environments.

• Design, build, and maintain Kubernetes clusters throughout their lifecycle.

• Manage Kubernetes networking, ingress controllers, service meshes, pod communication, and traffic routing.

• Troubleshoot complex issues involving pods, nodes, networking, DNS, storage, and cluster scalability.

• Implement high-availability and disaster recovery strategies for Kubernetes platforms.

GitOps & Continuous Delivery

• Design and manage enterprise-scale GitOps workflows using Argo CD.

• Automate application deployments and environment promotion strategies.

• Build and maintain CI/CD pipelines using GitHub Actions.

• Define and enforce Git branching strategies and release management practices.

• Improve deployment reliability, rollback capabilities, and release governance.

AWS Cloud Engineering

Strong hands-on experience with:

• AWS EKS

• EC2

• Route 53

• IAM

• CloudFront/CDN

• ALB & NLB

• VPC and Cloud Networking

• Security Groups and NACLs

• AWS Secrets Manager

• ElastiCache (Redis)

• S3

• CloudWatch

• RDS

• Auto Scaling and High Availability Architectures

Responsibilities include:

• Designing secure, scalable, and resilient AWS cloud architectures.

• Managing multi-account AWS environments.

• Implementing disaster recovery and business continuity solutions.

• Optimizing cloud cost, performance, security, and reliability.

Infrastructure as Code

• Build and maintain reusable Terraform modules.

• Provision and manage cloud infrastructure using Infrastructure as Code best practices.

• Maintain environment consistency and compliance through automation.

• Troubleshoot Terraform state issues, infrastructure drift, and large-scale deployments.

Platform Automation & Engineering Excellence

• Identify and eliminate manual operational processes through automation.

• Develop automation solutions for deployment, infrastructure, monitoring, and incident response.

• Build self-service capabilities and internal developer tools.

• Improve engineering productivity and reduce operational and tooling costs.

Observability & Monitoring

• Design monitoring and alerting solutions using Datadog or similar platforms.

• Develop automated alert correlation and incident reduction mechanisms.

• Create dashboards, SLOs, and observability standards.

• Drive proactive monitoring practices across production environments.

Disaster Recovery & Resiliency

• Design highly resilient and fault-tolerant cloud architectures.

• Lead recovery planning for major production incidents and outages.

• Develop recovery strategies for region failures, Kubernetes cluster failures, account compromises, and infrastructure loss.

• Implement recovery using Infrastructure as Code, backups, replication, and automation.

Required Qualifications

• 4+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Engineering.

• Expert-level Kubernetes administration experience.

• Strong hands-on experience with AWS EKS and/or Azure AKS.

• Deep understanding of Argo CD and GitOps principles.

• Strong experience with GitHub Actions and CI/CD automation.

• Advanced knowledge of Git branching and release management.

• Strong AWS architecture and cloud operations experience.

• Expert-level Terraform and Infrastructure as Code experience.

• Strong Docker and containerization experience.

• Linux system administration experience.

• Strong understanding of cloud networking and security.

Preferred Qualifications

• Azure cloud experience.

• Service Mesh experience.

• Multi-cloud deployment experience.

• Datadog or similar observability platform experience.

• Python, Go, Shell scripting, or other automation development experience.

• Strong Platform Engineering experience.