Cloud Infrastructure Engineer xPaaS || Phoenix, AZ (Day 1 Onsite)

Overview

On Site
Accepts corp to corp applications
Contract - 6 Month(s)

Skills

Experience with automation tools (Ansible
Shell Scripts
Python/Java)

Job Details

Job Title: Cloud Infrastructure Engineer xPaaS

Location: Phoenix, AZ (Day 1 Onsite)

Job Overview

American Express is undergoing a large-scale Cloud, Big Data, and Mobile transformation and is seeking an experienced Cloud Infrastructure Engineer (xPaaS) to join a high-performing, innovative platform engineering team. This role focuses on building, operating, and enhancing enterprise-grade private and public cloud infrastructure that supports scalable, multi-tenant applications across web and mobile platforms.

The ideal candidate will have strong hands-on experience with Linux systems, Google Cloud Platform, Terraform, Kubernetes platforms, and on-prem to cloud infrastructure migrations, along with a passion for automation and operational excellence.

Key Responsibilities

  • Own and support the cloud infrastructure platform and associated technologies
  • Design, build, enhance, and integrate infrastructure solutions aligned with enterprise architecture standards
  • Maintain a robust, scalable, highly available, and secure 24x7 cloud environment
  • Support multi-tenant, scale-out applications across development, testing, and production
  • Lead and contribute to infrastructure migrations (on-prem to on-prem, on-prem to cloud, and hybrid cloud)
  • Deploy and support COTS applications on Kubernetes platforms such as OpenShift and GKE
  • Automate infrastructure provisioning, configuration, and operations using Terraform and automation tools
  • Perform Linux system administration, including performance tuning, patching, monitoring, and security hardening
  • Manage cluster configurations, upgrades, and migrations on Red Hat Linux 8 virtual machines
  • Collaborate with US and India teams in a Follow-the-Sun support model
  • Participate in Incident, Change, Problem Management, RCA, and RFC processes
  • Continuously optimize infrastructure and troubleshooting processes to improve efficiency and reliability

Education & Technology core competencies

  • Bachelor's degree in computer science, computer engineering, or related field required; advanced degree preferred.
  • Overall 7+ years of industry experience with 5 Years of relevant experience
  • 5+ years of Unix/Linux system administration experience extensively
  • At least 3 years' experience in supporting and maintaining the on-prem production-grade environment in two or more like Redis (Enterprise), Kafka, Elasticsearch and Astronomer etc.
  • At least 2 years' experience in supporting and maintaining the production-grade environment in Terraform or similar IAC tool
  • At least 2 years' experience in supporting and maintaining the production-grade environment in Google cloud (Foundations and Managed services like PSC, Interconnect, Pub Sub, Cloud Run, Memory store etc)
  • At least 2 years' experience in supporting and maintaining the production-grade environment in deploying COTS apps in K8 environments like OpenShift or GKE.
  • Experience with automation tools (Ansible, Shell Scripts, Python/Java)
  • Cluster management, configurations, upgrades, and migrations on Red Hat Linux 8 in virtual machines
  • Leading big infra migrations programs from on-prem to on-prem, on-prem to Public and Hybrid clouds.
  • Extensive experience in Linux performance monitoring by using system tools, security setup, troubleshooting and performance tuning as necessary to ensure optimum performance, patching of Linux servers on regular schedule
  • Eager to learn new technologies in a short time span
  • Experience in change management, Incident management, RFC, Problem management & RCA
  • Experience in automation to increase efficiency
  • Optimize and streamline troubleshooting and debugging efforts by applying expertise across the infra and app domain.
  • Working knowledge of monitoring tools

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.