Senior DevOps Engineer (R-20131)

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.

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

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