Senior DevOps Engineer (R-20131)

About the job

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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