DevOps Engineer at AddSecure designing and developing modern cloud infrastructure. Involved with IoT solutions and scaling services using AWS, Azure, and Terraform.
About the role
- Cloud Engineer specializing in hybrid-cloud platform design and operation at Dun & Bradstreet. Collaborating closely with team members to enhance developer self-service and automation capabilities.
Responsibilities
- Design, engineer, operate, and continuously evolve hybrid cloud platform runtimes across AWS and GCP
- Establish and enforce standards for infrastructure provisioning, application deployment, CI/CD pipelines, container images, compute images, and configuration management within the internal developer platform
- Design, implement, and maintain Infrastructure as Code using Terraform and Terraform Cloud for Business
- Build, optimize, and support enterprise‑grade CI/CD pipelines using tools such as Harness, Jenkins, and GitHub Enterprise
- Enable and scale developer self‑service capabilities using platforms such as GitHub Enterprise, JFrog Artifactory, SonarQube, and Backstage
- Contribute to the architecture, monitoring, scalability, and lifecycle management of cloud platforms, including Kubernetes runtimes
- Drive automation across infrastructure, CI/CD, image lifecycle, and operational processes using Python, Bash, and configuration management tools
- Partner closely with application development teams, product owners, cybersecurity, and architecture teams to understand requirements and prioritize platform enhancements
- Apply AI‑assisted engineering tools (such as Gemini or equivalent) to improve development velocity, troubleshooting, and platform operations
- Operate within Agile delivery frameworks (Jira) and established ITSM processes (ServiceNow)
Requirements
- 8–12 years of experience in platform engineering, DevOps engineering, or cloud engineering in hybrid‑cloud environments (AWS & GCP).
- 5–8 years of hands‑on experience supporting hybrid‑cloud environments across AWS and GCP.
- Proficiency in designing and deploying large‑scale API Gateway and/or Apigee X solutions.
- Strong proficiency with Terraform and Terraform Cloud for Business (TFC/TFCB) for Infrastructure‑as‑Code.
- Strong CI/CD expertise using Harness CI/CD and/or Jenkins.
- Experience enabling developer self‑service platforms using GitHub Enterprise, Artifactory, SonarQube, and Backstage.
- Advanced experience with containerization and runtime platforms (Kubernetes, Docker), including scaling automated or self‑service Kubernetes environments.
- Strong automation skills using Python and/or Bash and configuration management tools such as Ansible.
- Strong Linux administration and troubleshooting skills across applications, networking, and systems.
- Experience integrating with internal development teams and supporting APIs and integration solutions.
- Proficiency with AI‑assisted engineering tools (Gemini preferred).
- Excellent verbal and written communication skills suitable for collaboration and presenting to leadership.
- AWS Certified Solutions Architect (Associate or Professional)
- AWS Certified DevOps Engineer (Associate or Professional)
- Google Cloud Professional Cloud Architect or Professional Cloud DevOps Engineer
- Experience with data or streaming platforms such as RedPanda, Databricks, Elasticsearch, or similar.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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