Senior Cloud Migration Architect - Lansing, MI - Hybrid/Onsite

Hybrid in Lansing, MI, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
Hybrid
$0 - $0
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • .NET
  • ADO
  • API
  • AWS Elastic Beanstalk
  • Amazon EC2
  • Amazon EKS
  • Amazon RDS
  • Amazon S3
  • Amazon Web Services
  • Application Development
  • Backup
  • Bash
  • SQL
  • Servers
  • Hardening
  • Incident Management
  • Jenkins
  • Kubernetes
  • Linux
  • Database Administration
  • DevOps
  • Docker
  • Git

Summary

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:

o
EB pattern: source build artifact eb deploy to environment per stage
o
EKS pattern: Docker build ECR push manifest/Helm chart update
GitOps sync via ArgoCD or Flux

o
EC2 pattern: build AMI bake or aws-deploy blue/green or rolling release
o
In-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

5 6+ 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 (“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: 91092521
  • Position Id: 8969569
  • Posted 3 hours ago
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