CI CD Pipeline Engineer - Groovy

As a CI CD Engineer, you will own the build/release pipeline operation of our production, staging and development systems. You will be building tooling and automation to close the feedback gaps in the CI/CD pipeline, develop new integrations with third-party services and monitor the health of our build/deploy infrastructure.

Must have skill: Groovy

What we're looking for

7+ years of experience in a DevOps/SRE/Build-Release role, preferably at a startup using Kubernetes and Jenkins.

Experience with CI/CD principles, architecture and operations

Comfort working in high-security / high-compliance environments, such as finance or healthcare

Experience setting up and working with Jenkins in a containerized environment.

Experience with Docker and container orchestration tools like Kubernetes and ECS

Proficiency with a scripting language to develop integrations (Python, Javascript, Groovy)

Responsibilities Include:

• Engineer, maintain and contribute to JenkinsFile Shared libraries used by the enterprise for our CI / CD needs.
• Write high-quality code and tests in Groovy and Go for our CI/CD pipelines and infrastructure.
• Write, upgrade, and maintain Terraform modules used to spin up and maintain EKS clusters in AWS.
• Understand, develop, and enhance our Kubernetes offering for the enterprise.
• Maintain our CD tooling
• Enhance existing Tool Chain through internal development and investigation of third party software.
• Work with Software Engineers to develop and support our Continuous Delivery process.
• Provide support for Production and non-production environments.

Required Experience:

• Atleast 5 years engineering experience in a modern development language: Java, GO, Javascript, Groovy, or Python.
• Knowledge and experience using Terraform at an enterprise level.
• Experience with Kubernetes (on-prem or AWS) or similar container orchestration technologies
• Knowledge of JenkinsFiles and Groovy.
• Experience with CI tools such as Jenkins / Bamboo or Hudson.
• 2 years of experience with AWS.
• Working knowledge of Linux systems and subsystems.
• Good communication skills.
• Strong analytical skills.