Cloud Platform Engineer ( W2 Position)

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Role : Cloud Platform Engineer ( W2 Position)

Location : Dearborn Michigan (Hybrid)

Duration: 12 Months

Experience: 8 Years

Client: Ford Motor

Position Description:

Skills Required:

Scripting Kubernetes IBM Websphere Application Server Linux GitHub Jenkins Docker Python

Skills Preferred:

Kubernetes Scripting Linux IBM Websphere Application Server GitHub Jenkins Python Docker

Experience Required:

Engineer 3 Exp: 2 coding lang. or adv. 1 lang. 6 years in IT; 4 years in development

Experience Preferred:

• Experience with DataStage on IBM Information Server / DataStage 11.x versions and Good Experience in CP4d is nice to have.
• Experience containerizing DataStage or integration workloads or familiarity with hybrid DataStage deployments.
• Experience with enterprise backup and DR solutions for middleware.
• Red Hat Certified Specialist in OpenShift Administration IBM DataStage certifications. Technical Skills Summary
• Platforms: IBM InfoSphere DataStage Apache NiFi Red Hat OpenShift
• OS: RHEL/SUSE Linux
• Scripting: Bash Python (or Perl)
• Containers: Docker Kubernetes / OpenShift
• CI/CD: Jenkins GitLab CI ArgoCD GitOps concepts
• SCM: Git

Key Responsibilities:

• Collaborate with enterprise architects software architects software engineering teams etc. to design the platform infrastructure and tools encompassing servers networks storage databases cloud services etc.
• Implement and manage the infrastructure that supports the platform tools and ensuring that upgrades security patches and other performance improvements are regularly performed.
• Evaluate cloud providers containerization solutions and other complex technologies to deeply understand the configurations available and create abstractions of common configurations that can be utilized easily by application teams for their workloads
• Write and execute automated Infrastructure as Code scripts and utilize processes like CI/CD to streamline and automate how the platform infrastructure is provisioned configured and managed to improve consistency traceability and repeatability
• Integrate performance and monitoring best practices including QoS and SLA metrics to scale platform applications and managed services automatically due to demand.
• Incorporate security and disaster recovery best practices into the infrastructure applications by integrating access control identity management logging/monitoring public/private network configurations data encryption storage backup and disaster recovery etc.
• Facilitate the integration of enterprise managed software configurations into deployment pipelines managed by application teams to ensure approved configurations and best practices around security networking logging & monitoring performance & scale etc. are applied
• Advocating feedback with service providers and developers to ensure the platform continues to grow and evolve to meet their needs