AWS Architect

Hybrid in Lansing, MI, US β€’ Posted 4 hours ago β€’ Updated 4 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • AWS Architect
  • EKS
  • EC2
  • RDS
  • VPC
  • IAM
  • S3
  • CloudWatch
  • Beanstalk
  • Kubernetes
  • Helm
  • kubectl
  • ingress
  • ALB
  • NGINX
  • HPA
  • Docker
  • Secrets Manager
  • Computer Networking
  • Continuous Delivery
  • Continuous Integration
  • Database Administration
  • Debugging
  • DevOps
  • Git
  • GitHub
  • GitLab
  • Hardening
  • Incident Management
  • Java
  • Jenkins
  • Linux
  • MI
  • Marketing Intelligence
  • Mentorship
  • Microsoft
  • Microsoft Azure
  • Microsoft SQL Server
  • Migration
  • Network Security
  • New Relic
  • PostgreSQL
  • Promotions
  • Public Relations
  • RTR
  • Red Hat Enterprise Linux
  • Remote Desktop Services
  • Shell Scripting
  • Software Release Life Cycle
  • Splunk
  • Sprint
  • Terraform
  • Ubuntu
  • Version Control
  • Virtual Machines
  • Virtual Private Cloud
  • YAML
  • Bash
  • COTS
  • Cloud Computing
  • Code Review
  • Communication
  • Dashboard
  • Amazon RDS
  • Amazon S3
  • Amazon Web Services
  • Application Development
  • .NET
  • ADO
  • API
  • AWS Elastic Beanstalk
  • Amazon EC2
  • Amazon EKS
  • Backup

Summary

Job ID: MI-158636

Hybrid/Local MI Govt AWS Architect (Inperson IV/relocation ok/15+) with EKS/EC2/RDS/VPC/IAM/S3, CloudWatch, Beanstalk, Kubernetes, Helm, kubectl, ingress/ALB/NGINX, HPA, Docker, Secrets Manager experience

Location: Lansing, MI (DTMB)
Duration: 12 Months

Hybrid: Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week.
Local candidates (strongly preferred) or non-local (must be willing to relocate at their own expense from acceptance with no delays & follow the hybrid schedule). Please note, both local AND non-local candidates must be available for an in-person interview.

Skills:
Top Skills & Years of Experience:
5V6+ years hands-on experience building and operating production workloads on AWS, with deep knowledge of Elastic Beanstalk, EKS, EC2, RDS, VPC, IAM, S3, CloudWatch, and Secrets Manager
3+ years hands-on with Kubernetes production EKS preferred, including Helm, kubectl, ingress (ALB/NGINX), HPA, and troubleshooting pods/services/networking
Solid Docker skills multi-stage builds, image hardening, ECR

Job Description:
Position Overview
We are seeking a Senior Cloud Migration Architect to embed with our development team and lead the AWS platform configuration and CI/CD automation for a large-scale enterprise cloud migration program. The program covers 30+ applications across migration approaches such as Elastic Beanstalk, Amazon EKS, EC2/Cloud VM to be delivered across multiple sprints.
The contractor will own the technical configuration of AWS services for each migration pattern, design and build Azure DevOps (ADO) pipelines that integrate with ArgoCD or Flux for GitOps-driven deployments to EKS, and partner closely with application teams, the AWS Infrastructure Team, and the DBA team to deliver production-ready environments sprint by sprint.
This is a hands-on, deeply technical role for someone who can move fast, write production-grade IaC, debug across the stack, and mentor application developers and administrators on cloud-native patterns.

Key Responsibilities
AWS Platform Configuration
Configure and tune AWS Elastic Beanstalk environments for applications across Dev, Test, and Prod, including platform versions, scaling policies, environment variables, and rolling deployment configuration
Stand up and operate Amazon EKS clusters across Dev/Test/Prod for containerized workloads, including node groups, cluster autoscaling, ingress controllers, and namespace strategy
Provision and harden EC2/Cloud VM environments, including AMI selection, instance sizing, OS-level configuration, and patching strategy
Partner with the DBA team on Amazon RDS setup for SQL Server and PostgreSQL including parameter groups, subnet groups, backup policies, and Multi-AZ configuration
Design VPC networking, security groups, IAM roles/policies, KMS keys, and Secrets Manager integration following least-privilege principles
Build infrastructure-as-code (Terraform preferred; CloudFormation acceptable) so every environment is reproducible and auditable
CI/CD & GitOps
Design and build Azure DevOps build and release pipelines tailored to each migration pattern:
oEB pattern: source build artifact eb deploy to environment per stage
oEKS pattern: Docker build ECR push manifest/Helm chart update GitOps sync via ArgoCD or Flux
oEC2 pattern: build AMI bake or aws-deploy blue/green or rolling release
oIn-place upgrade pattern: validation, packaging, and controlled deployment to existing servers
Implement GitOps using ArgoCD or Flux for EKS workloads pull-based deployments, automated drift detection, app-of-apps or kustomize/helm patterns, multi-cluster or multi-namespace promotion
Establish promotion strategy across Dev to Test to Prod with appropriate gates, approvals, and rollback mechanisms
Standardize pipeline templates (YAML) so application teams can self-onboard new services consistently
Integrate static analysis, container scanning (Trivy/ECR scan), SAST/DAST hooks, and artifact provenance into the pipeline
Observability & Reliability
Configure CloudWatch logs, metrics, alarms, and dashboards for each workload
Define SLOs, alerting thresholds, and incident response runbooks for production cutover events
Documentation & Hand-off
Produce architecture decision records (ADRs), runbooks, and operational procedures so workloads can be supported by the long-term operations team
Maintain a clean, versioned IaC repository as the source of truth for all environments
Collaboration
Work daily with application development teams, AWS Infrastructure Team, DBA Team, and Tech Leads
Pair with developers to debug cloud-specific issues (cold starts, container OOMs, RDS connectivity, IAM denials)

Required Qualifications
5V6+ years hands-on experience building and operating production workloads on AWS, with deep knowledge of Elastic Beanstalk, EKS, EC2, RDS, VPC, IAM, S3, CloudWatch, and Secrets Manager
3+ years hands-on with Kubernetes production EKS preferred, including Helm, kubectl, ingress (ALB/NGINX), HPA, and troubleshooting pods/services/networking
Production experience with ArgoCD or Flux designed app-of-apps structure, managed multi-environment promotion, and resolved GitOps drift in real workloads. This is non-negotiable.
Strong Azure DevOps Pipelines (YAML) experience build pipelines, multi-stage release pipelines, variable groups, service connections, and self-hosted/Microsoft-hosted agents. Equivalent strong experience in another major CI/CD tool (GitHub Actions, GitLab CI, Jenkins) is acceptable if Azure DevOps can be picked up quickly
Solid Docker skills multi-stage builds, image hardening, ECR
Infrastructure-as-Code in production: Terraform (preferred) or CloudFormation/CDK
Database familiarity comfortable working with DBA teams on RDS (SQL Server and PostgreSQL), connection strings, secrets rotation, and migration cutover
Linux administration (RHEL/Amazon Linux/Ubuntu) and shell scripting (bash)
Source control with Git branching strategies, pull requests, code review discipline
Strong written communication must produce clear runbooks, architecture diagrams, and PR descriptions
Preferred Qualifications
AWS certifications: AWS Certified Solutions Architect Professional or DevOps Engineer Professional
CKA / CKAD (Certified Kubernetes Administrator/Developer)
Experience migrating .NET and Java applications from on-premises to AWS
Experience operating COTS products in containerized or cloud environments
Experience with service mesh (Istio, App Mesh) or API gateways
Exposure to HashiCorp Vault, secrets rotation, and certificate management
Familiarity with DataDog, New Relic, or Splunk in addition to native AWS observability
Experience with blue/green and canary deployment patterns

Employers have access to artificial intelligence language tools (β€œAI”) 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: 10456060
  • Position Id: MI-158636
  • Posted 4 hours ago
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