DevOps Engineer

• Design, build, and maintain Terraform modules from the ground up, including integrations with thirdparty providers

• Architect and support CI/CD pipelines using Jenkins, including:

• Scripted pipelines

• Pipeline troubleshooting and optimization

• Defining best practices for pipeline structure and promotion workflows

Manage artifact versioning, promotion, and environment merges across SDLC stages (e.g., dev test staging production)

Implement and maintain secure artifact handling, including promotion, authentication, and access controls

Develop and maintain Python-based automation, including:

• API integrations with thirdparty systems
• Automation of daily operational and release tasks

Package and deploy automation solutions using Docker

Publish and manage artifacts in Artifactory, including handling thirdparty authentication mechanisms

Support release promotion workflows, ensuring consistency, traceability, and security

Collaborate with internal teams and multiple external vendors to align CI/CD and infrastructure standards

Provide guidance on DevOps architecture decisions, including what belongs in pipelines and how environments should be managed

Support SQL Server related operational and security considerations as part of release and deployment workflows

Apply working knowledge of Kubernetes to support deployments (no cluster setup or administration required).

Seeking a Senior DevOps Engineer to support a cloud implementation initiative (~4 months). This role requires a mature DevOps professional with strong architectural judgment and handson expertise in Terraform, Jenkins CI/CD pipelines, artifact management, and Python-based automation., * 8+ years of experience as a DevOps Engineer, Platform Engineer, or Senior Software Engineer

• Strong handson experience with Terraform, including:

• Designing reusable modules

• Building infrastructure as code from scratch

• Integrating with thirdparty providers

Advanced experience with Jenkins, including:

• Scripted pipelines
• CI/CD pipeline architecture and troubleshooting

Deep understanding of:

• Artifact versioning strategies
• Promotion and merge workflows
• SDLC environment progression

Proficiency in Python, including:

• Writing automation scripts
• Building API integrations
• Supporting deployment workflows

Experience containerizing applications and automation using Docker

Familiarity with artifact repositories (e.g., Artifactory) and secure publishing practices

Experience handling authentication and security considerations within CI/CD and deployment pipelines

Working knowledge of Kubernetes concepts and deployment patterns

Strong communication skills and ability to work effectively in a multivendor, enterprise environment.