About this Principal DevOps Engineer (R-19694) role at Dnb
We are seeking an experienced Principal DevOps Engineer with deep expertise in Google Cloud Platform (GCP) and Infrastructure as Code (Terraform) to design, implement, and operate scalable cloud infrastructure and DevOps solutions.
This role focuses on building automation-first platforms, enabling self-service capabilities for development teams, and driving improvements in CI/CD, system reliability, security, and overall DevOps maturity across enterprise applications and data platforms.
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.