Devops-ci/cd Pipeline Specialist – Project Delivery Senior Analyst

This role focuses on designing, implementing, and managing CI/CD pipelines and private cloud-based application environments. Responsibilities include system monitoring, deployment support, automation scripting, and integration with cloud services (AWS/Azure). The role requires experience with various DevOps tools and scripting languages.

What you'd actually do

  1. Support maintenance, monitoring, and day-to-day operations of private cloud-based application environments. Develop, enhance, and support CI/CD pipelines for applications within the AME scope.
  2. Monitor system health, performance, and platform stability to identify and resolve operational issues.
  3. Support application deployment, release, and environment management activities across development and support teams.
  4. Implement and manage DevOps automation using tools such as Terraform, Jenkins, Maven, Git, Nexus, Amazon ECR, Docker, and Artifactory.
  5. Support secrets and key management processes across AWS and Azure environments.

Skills

Required

  • DevOps and CI/CD tools (Terraform, Jenkins, Maven, Git, Nexus, Amazon ECR, Docker, Artifactory)
  • Source code management and version control (Git)
  • Secrets and key management in AWS and Azure
  • Integrating AWS/Azure services with applications
  • Scripting languages (Java, Ruby, Python, shell, Perl, PHP)
  • Linux and Windows Server administration
  • Application deployment and release management
  • System monitoring and performance analysis

Nice to have

  • Experience with Kafka, MongoDB, Cassandra, Oracle
  • Experience with private cloud environments

What the JD emphasized

  • 4+ years of experience designing and operating scalable, secure, and high-performing systems and platforms in highly hardened or secure environments
  • 4+ years of experience with DevOps and CI/CD tools such as Terraform, Jenkins, Maven, Git, Nexus, Amazon ECR, Docker, and Artifactory
  • 4+ years of experience with source code management and version control practices using Git