Principal DevOps Engineer (R-19694)

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? Join us! Explore opportunities at dnb.com/careers.

Key Responsibilities

Engineer solutions on GCP foundation platform using Infrastructure As Code methods (e.g., Terraform).

Develop capabilities to meet business requirements.

Focus on making the build and deployments fully automated.

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

Building and configuring the necessary tools to give runtime insights to resolve problems

Validate solutions using proof of concepts and prototypes.

Manage code repo and ensure the team follows Release Branch strategies.

Collaborate across the different teams and areas such as Cloud Platform, Security, Data, Risk & Compliance to create cost-effective optimum solutions for the business.

Provide training, guidance, and mentorship to software engineers, on development on a Cloud environment best practices.

Key Requirements

10+ years of experience managing and deploying commercial software products

Proven experience building large-scale, distributed systems

Proven experience managing solutions on GCP or AWS utilizing a broad set of the services available

In-depth Knowledge of Terraform is a must

Experience with Kubernetes (GKE) and container orchestration

Familiarity with policy-as-code and security automation

Experience in cost optimization and cloud governance frameworks

Knowledge of monitoring & observability tools (Cloud Monitoring, Logging, Prometheus, etc.)

Strong understanding of performance issues and how to resolve them on GCP / AWS

Strong experience in Scala/Spark (Java & Python beneficial)

Capability to conduct root cause analysis for Production Incidents and resolution for future prevention.

Experience in creating automated CI/CD pipeline using Harness, GitHub Actions, Gitlab, Jenkins, etc.

Experience of deploying and operating Big Data Service Platforms highly desirable.

Knowledge and building and maintaining source code branches and packaged into artifacts is preferred

Certification in GCP/AWS is a major plus.

Proficiency in Microsoft Office Suite skills

Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.

Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.

Where applicable, fluency in English and languages relevant to the working market.