AWS DevOps Architect with Harness

Job Title: AWS DevOps Architect with Harness

Location: Atlanta, GA or Grand Prairie, TX (Onsite)
Contract C2C

Please find attached the skill set and JD along with some additional key needs mentioned below required for this role.

• 3+ years working in a DevOps leadership role collaborating with IT and Business partners to gather requirements, design and implement stable, efficient and cost-effective DevOps solutions
• 3+ years leading Offshore team members to plan for and achieve targeted deliverables as a contributor and mentor within a Scaled Agile Framework environment

• Candidate should be able to commute to and work from Atlanta, GA or Grand Prairie, TX office.

below skill set is required that came up recently:

Harness CI/CD

Github/GitHub actions

AWS DMS

AWS SCT

Hashicorp Vault

Required Technical Skills

Kubernetes (Expert)

• Kubernetes deployments
• Services
• Horizontal Pod Autoscaler (HPA)
• Ingress
• Namespaces
• Kubectl CLI
• Kubernetes manifests
• Scaling
• Monitoring
• Troubleshooting
• Kubernetes administration

AWS EKS (Expert)

• Kubernetes Clusters
• EKS Administration
• Namespaces
• Deployments
• Services
• ScaledObjects
• Istio Service Mesh
• Cluster Operations

CI/CD (Expert)

Experience building enterprise CI/CD pipelines using:

Preferred

• Tekton
• Argo CD

Nice to Have

• Atlassian Bamboo
• IBM UrbanCode Deploy
• Jenkins

Helm Charts (Expert)

• Create and maintain Helm Charts
• Package Kubernetes applications
• Helm templating
• Kubernetes release management

Docker (Expert)

• Dockerfile creation
• Container image optimization
• Image repositories
• Docker registry management
• Quay Registry (Preferred)

Infrastructure as Code (Terraform)

• Develop reusable Terraform modules
• Infrastructure provisioning
• Infrastructure automation
• Cloud provisioning best practices

Cloud Platforms

AWS (Strong Knowledge)

• EC2
• S3
• IAM
• VPC
• ELB
• RDS
• Security Groups
• AWS CLI
• AWS Management Console

Preferred Certification

• AWS Certified Cloud Practitioner

Google Cloud (Exposure)

• BigQuery
• Cloud Storage Buckets

Programming & Automation

• Bash
• Shell Scripting
• Linux scripting
• Python automation
• DevOps automation scripting

Angular / Node.js

• Build and deploy Angular applications
• Node.js CI/CD integration

Version Control & Repository Management

• Bitbucket administration
• Repository management
• Branching strategies
• Git operations

Artifact Management

• JFrog Artifactory
• Repository setup
• Package management

DevSecOps

• Checkmarx
• Wiz
• Pipeline security scanning
• CyberArk
• Service Identity Platform (SIP)
• Vault/Safe management
• Service account management

Databases

Working knowledge of:

• SQL Server
• Oracle
• PostgreSQL
• Amazon RDS
• Amazon DocumentDB
• MongoDB
• MongoDB Atlas

Operating Systems

• Linux
• Windows Server

Monitoring & Performance

• DataDog
• Application monitoring
• Performance testing enablement
• NFR metrics
• KEDA
• Metrics API

Test Automation

• Cypress
• Simplify3x

Additional Technologies (Nice to Have)

• Kafka
• Snowflake
• FileNet
• NGINX
• Apigee
• Control-M Scheduler
• SSL Certificate Management
• DNS
• Firewalls
• Networking
• Protegrity
• ServiceNow (SNOW)
• Change Management
• DR/Failover Strategies
• Blue-Green Deployments
• Enterprise Release Management

AI & Automation

• Experience with Generative AI tools.
• Hands-on experience using GitHub Copilot and/or Windsurf.
• Experience building AI-enabled development or automation solutions is highly preferred.

Preferred Qualifications

• AWS Cloud Certification.
• Experience implementing enterprise DevSecOps solutions.
• Experience supporting underwriting or healthcare business applications.
• Experience with enterprise production support and SWAT incident engagements.
• Knowledge of Agile and SAFe methodologies.
• Experience designing highly available, secure, and scalable cloud-native platforms.