Senior GCP DevOps Engineer (R-19673)

Dun & Bradstreet, Inc.; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Dun & Bradstreet, Inc. in Hyderabad, India, is seeking a cloud engineer to design and deploy scalable cloud-native solutions. You will develop CI/CD pipelines, automate deployment and testing, and collaborate with security, data, and risk teams to ensure compliant, high-availability platforms.

Applicants should have hands-on experience with GCP/AWS, Terraform, Docker, Kubernetes, and modern DevOps practices, plus strong coding skills in Java/Python/Go/JavaScript.

Qualifications

• Experience with cloud platforms (GCP/AWS) to design and deploy scalable cloud-based solutions.
• Experience building automated CI/CD pipelines with tools like GitLab, Jenkins, Harness.
• Proficiency in containerization and orchestration (Docker, Kubernetes, Helm, GKE).
• Strong programming experience in Java, Python, Go, or JavaScript.
• Track record of managing internet-facing production applications in cloud environments.
• Experience with data pipelines and automated provisioning/DevOps practices.
• Certifications in Google Cloud/AWS are advantageous.

Responsibilities

• Engineer solutions on GCP foundation platform using Infrastructure as code methods (e.g. Terraform).
• Build and support CI/CD and testing activities.
• Implement optimizations to improve productivity, tools, and techniques in the cloud SDLC.
• Adopt automation-first approaches for testing, deployment, security, and compliance.
• Reduce toil by increasing automation and stability across the stack.
• Collaborate with cloud platform, security, data, risk and compliance teams to deliver cost-effective solutions.

Skills

Cloud platforms (GCP/AWS)

CI/CD pipelines

Containerization

Kubernetes/GKE

Programming languages (Java, Python,Go

Data pipelines

DevOps/Infrastructure as Code

Client-facing projects

Automation

Cloud security/compliance

Tools

Terraform

GitLab

Jenkins

Harness

Docker

Helm

Kubernetes

Mesos

Job description

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. 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?

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.

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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