DevOps Engineer – US Hours

This is a fully remote position, open to applicants in Portugal.

📋 Description

• CI/CD Platform Engineering: Design, implement, and sustain CI/CD pipelines across various platforms such as Jenkins, GitLab CI, GitHub Actions, and Azure DevOps.

• Pipeline Framework & Library Development: Create and maintain shared pipeline libraries along with reusable automation modules.

• Kubernetes & Container Platform Integration: Develop and uphold CI/CD workflows that facilitate the deployment of containerized applications to Kubernetes platforms.

• Data DevOps & Database Pipeline Automation: Design and establish CI/CD pipelines that support database and data platform deployments.

• Cloud & Platform Automation: Execute CI/CD workflows for deploying applications in cloud environments.

• Developer & Data Team Enablement: Work in collaboration with development and data engineering teams to design effective CI/CD and data pipeline workflows.

• Observability & Operational Excellence: Implement logging, monitoring, and alerting for CI/CD systems and pipeline workflows.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• Over 5 years of demonstrable experience in designing and implementing CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or similar CI/CD platforms.

• Proven experience in developing shared pipeline libraries, reusable pipeline templates, or CI/CD automation frameworks.

• Experience in building or maintaining Jenkins Shared Libraries, GitLab CI templates, or equivalent reusable pipeline frameworks.

• Familiarity with container technologies and Kubernetes-based platforms.

• Experience in supporting deployments to Kubernetes, OpenShift, or comparable container orchestration platforms.

• Experience in implementing DevOps automation for data platforms and database deployment pipelines.

• Practical experience with technologies like Liquibase, Redgate, Databricks, SQL Server, or other equivalent data platform technologies.

• Experience in writing and troubleshooting SQL queries used in automated deployment or data processing workflows.

• Strong scripting or programming skills in languages such as Groovy, Python, Bash, or other equivalent automation languages.

• Experience with artifact repositories and container registries.

• Strong troubleshooting and debugging abilities in build systems and CI/CD environments.

• Exceptional collaboration and communication skills when working with development and data engineering teams.

🏝️ Benefits

• Flexible Work

• Learning & Growth

• Team & Culture

• Extra Perks by Location