Sr. DevOps Cloud Engineer | 5+ Yrs | USA

Website RELX
Job Description:
This position performs complex research, design, and software development assignments within a software functional area or product line, and provides direct input to project plans, schedules, and methodology in the development of cross-functional software products. This position performs software design — typically across multiple systems; mentors more-junior members of the team; and talks to users/customers and translates their requests into solutions.
Experience and Qualification:
- 5+ years of Software Engineering experience
- BS Engineering/Computer Science or equivalent experience required
Job Roles and Responsibilities:
- Delivery of resilient application stacks via “Infrastructure as Code” and other DevOps practices
- Experience creating robust code delivery pipelines using orchestration tools such as Jenkins, Azure DevOps pipelines, Github Actions
- Diagnosis and resolution of complex system and application issues
- Working with diverse technical and non-technical teams, including Development, QA, IT Operations, Customer Operations and Project Management teams
- Write and maintain systems / application documentation for technical and non-technical
- Monitoring and on-going support of critical, high revenue business applications
Job Requirements:
- Professional experience of working within the public cloud – Azure, AWS
- Use of orchestration tools such as Terraform, CloudFormation
- Creation of CI/CD pipelines using tools such as Gitlab, Github, Jenkins
- Configuration Management tools – e.g. Ansible, Puppet, Chef or equivalents
- Experience deploying and administrating tools that make up the code delivery pipelines such as Jenkins, Artifactory, SonarQube, etc.
- Hands-on experience of Linux server including support and troubleshooting
- Cloud Architecture and system design to solve key business problems and facilitate team goals.
- Experience of working with / hosting containers via platforms such as Docker
Preferred Skills:
- Knowledge of container orchestration platforms such as Kubernetes
- System and application monitoring – e.g. Datadog, Cloudwatch
- Familiarity with Log Management tools e.g – Elastic Stack, Graylog or Splunk
- Experience working with relational databases such as MySQL or similar
- Use of Secret Management services e.g – Hashicorp Vault
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