Key Responsibilities:
- Develop capabilities to meet business requirement and develop the necessary tools to help us to be fully automated.
- Engineer solutions on GCP foundation platform using Infrastructure as Code methods (e.g., Terraform, Helm etc.).
- 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 Instrumentation (Monitoring, Metering, Reporting, Logging, Observability, Tracing) to give runtime insights to resolve problems
- Manage code repo and ensure the team follows Release Branch strategies and setting up the needed development and runtime environments.
- Collaborate across the different teams and areas such as Cloud Platform, Security, Data, Risk & Compliance to create cost-effective optimum solutions for the business.
Key Requirements:
- 7+ years of experience developing commercial software in an agile SDLC environment with a focus on Devops and automation in large scale distributed systems.
- Proven experience managing Platforms on GCP or AWS utilizing a broad set of the services available using Infrastructure as code (Terraform, Helm etc.).
- Strong understanding of performance issues and how to resolve them on GCP / AWS both in Application runtime and Infrastructure levels.
- Experience in Java/Python to build tooling as needed, working knowledge of Scala/Spark understanding is 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.
- Knowledge and building and maintaining source code branches and packaged into artifacts using tools such as JFrog and Version control tools such as Github, bitbucket or similar are required.
- Monitoring and Logging in Splunk, ELK Stack and similar is required.
- Certifications in either AWS, GCP, Kubernetes, or Terraform are preferred.
- Experience in Google Cloud Platform (GCP) services like Kubernetes Engine, Compute Engine, App Engine, Cloud Functions, Cloud Run, Cloud KMS, Datastore, Fire store, Storage, Cloud SQL, Spanner, Pub/Sub, Dataflow, Big Query, Stack driver Monitoring, VPC, Load balancing, and Cloud Armor is desirable.
- 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.
- Where applicable, fluency in English and languages relevant to the working market.
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What We Do
Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk, and transform their businesses.
Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.
Why Work With Us
We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.
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