Cloud Engineer & Workflow Automation Specialist
New
United States, US East Coast working hoursFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerPythonETLGCPCI/CDTerraformBigQuery
Requirements
- 5+ years of hands-on experience with Google Cloud Platform, including core services such as BigQuery, Cloud Run, Cloud Storage, Pub/Sub, Dataflow, IAM, or networking.
- Strong programming skills in Python, with experience building automation scripts, workflows, and data processing systems.
- Solid experience designing and supporting ETL pipelines and data integration workflows in production environments.
- Proven experience with Docker containerization and CI/CD pipeline implementation.
- Hands-on experience with Terraform or other infrastructure-as-code tools.
- Familiarity with workflow automation or orchestration platforms such as Mendix, Nextflow, or similar systems.
- Strong troubleshooting skills across cloud systems including networking, permissions, logs, containers, and data pipelines.
- Ability to work independently in a fast-paced, collaborative environment aligned to US East Coast working hours.
Responsibilities
- Design, build, and maintain cloud-native solutions on Google Cloud Platform, leveraging services such as BigQuery, Cloud Run, Cloud Storage, Pub/Sub, Dataflow, and related tools.
- Develop and automate ETL pipelines and data workflows for both structured and unstructured data.
- Build Python- and shell-based automation to support workflow execution, system integrations, monitoring, and operational processes.
- Containerize applications and services using Docker and deploy them across cloud-native environments.
- Develop and maintain CI/CD pipelines and Infrastructure-as-Code solutions using Terraform.
- Support workflow orchestration platforms such as Mendix, Nextflow, or similar tools.
- Collaborate cross-functionally with engineering, data, and research teams to translate complex requirements into scalable cloud solutions.
- Contribute to best practices in cloud security, observability, reliability, cost optimization, and operational excellence.
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