Senior GCP DevOps Engineer (R-19673)

Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

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Key Responsibilities:

• Engineer solutions on GCP foundation platform using Infrastructure as code methods (e.g. Terraform)

• Build and support continuous integration (CI), continuous delivery (CD) and continuous testing activities

• Implement optimizations in the cloud software development life cycle process to provide improvement in productivity, tools and techniques

• Embrace an automation-first approaches to testing, deployment, security and compliance of solutions through Infrastructure as Code and automated policy enforcement

• Empower the adoption of practices to minimize toil and manual work and increase automation and stability

• Collaborate across the different teams and areas such as cloud platform, security, data, risk & compliance areas to create cost effective optimum solutions for the business.

Key Skills:

• Hands on experience in working with GCP/AWS and its services to create and implement cloud-based solutions using terraform

• Experience in creating automated CI/CD pipeline using Gitlab, Jenkins, Harness etc

• Experience with containerization, artifact repository, and orchestration technologies (such as Docker, Helm, Kubernetes, Mesos)

• Knowledge of containerization and container orchestration technologies such as GKE and Kubernetes is a must

• Experience in writing software in one or more languages, such as Java, Python, Go, JavaScript etc

• Experience maintaining internet facing production-grade applications in virtualized environments (cloud computing platforms and services)

• Experience managing internal or client-facing projects, troubleshooting clients' technical issues and working with engineering, sales and services teams and customers

• Experience in implementing data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations

• Experience automating infrastructure provisioning, DevOps, and/or continuous integration/delivery

• Certified in Google Professional Data Engineer/Solution Architect/AWS is a major advantage.

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