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Senior GCP DevOps Engineer, R-19673 at Dun & Bradstreet | Swiftcruit
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. For over 180 years, 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.
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
Certified in Google Professional Data Engineer/Solution Architect/AWS is a major advantage.
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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