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. Since 1841, 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.

Job Summary:

As a Senior DevOps Engineer on the Visitor Intelligence team, you will design, automate, operate, and continuously improve the cloud infrastructure supporting D&B's Visitor Intelligence and Form Fill products. You will work closely with software engineers to
improve deployment automation, observability, reliability, security, scalability, and operational efficiency across production and non-production environments. You will play a key role in modernizing our platform, including our migration from Jenkins to Harness and our transition toward containerized workloads, while supporting the AWS infrastructure underlying our customer-facing services. You will also help drive monitoring and observability, infrastructure automation, incident response, disaster recovery, and cloud cost optimization. This role requires someone comfortable owning critical production systems while also helping define and implement their future architecture.

Key Requirements:

Bachelor's degree in computer science, Computer Engineering, Information Technology, or a related field, or equivalent practical experience
5+ years of industry experience in DevOps, Site Reliability Engineering, Cloud Engineering, Systems Engineering, or related roles.
Strong hands-on experience designing, deploying, and operating production workloads in AWS
Experience with Infrastructure as Code and configuration-management tools such as Terraform and Ansible
Experience building and maintaining CI/CD pipelines and automated deployment processes
Experience supporting Linux-based production environments
Experience with logging, monitoring, observability, and troubleshooting distributed production systems
Experience with container technologies and modern containerized deployment practices
Experience scripting and automating operational tasks using Python, Bash, or similar languages
Solid understanding of networking, security, access management, and cloud infrastructure fundamentals
Strong troubleshooting and problem-solving skills with the ability to diagnose issues across application and infrastructure layers
Self-driven and able to work effectively in a fast-paced, dynamic environment
Excellent written and verbal communication skills
Ability to document and communicate infrastructure designs, operational procedures, and technical decisions
Strong English fluency
Comfortable with up to half of working hours overlapping standard EST working
hours
AWS services such as EC2, S3, RDS, DynamoDB, Redshift, Lambda, ECS, and related cloud services
Terraform and Ansible for infrastructure provisioning, configuration, and automation
Harness and/or Jenkins for CI/CD and deployment automation
Splunk for centralized logging, monitoring, and observability
Docker and container orchestration technologies
Kubernetes and/or AWS container services
Building and maintaining highly available customer-facing production systems
Disaster recovery planning, implementation, and testing
Cloud infrastructure cost analysis and optimization
Application and infrastructure security, vulnerability remediation, and security tooling
Supporting Java/Spring Boot and data-intensive applications
SQL and NoSQL database technologies
Agile/Sprint/Scrum software development practices

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.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.

Dun & Bradstreet

New Jobs

Senior DevOps Engineer (R-20131)