Cloud Engineer & Workflow Automation Specialist
About The Position
RCH Solutions is seeking a Google Cloud Platform (GCP) & Workflow Automation Engineer to design, automate, and operate cloud-based platforms that support lab, research, data, and workflow-driven applications. This role will focus on GCP engineering, Python automation, ETL/data pipelines, Docker containerization, CI/CD, Terraform, and workflow or lab orchestration platforms such as Mendix, NAN, Nextflow, or similar systems. The ideal candidate has strong hands-on GCP experience and can build reliable automation around data movement, workflow execution, platform integrations, and cloud-native application deployment. The role requires collaboration with other engineers, data scientists, and application teams to modernize workflows, enable cloud-native development, and support large-scale analytics and scientific computing.
Requirements
- Bachelor's Degree in Computer Science or equivalent work experience
- 5 + years of hands-on experience with Google Cloud Platform.
- Experience with GCP services such as BigQuery, Cloud Run, Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, IAM, or networking.
- Strong programming and automation experience with Python.
- Experience supporting ETL pipelines, data movement workflows, or data processing automation.
- Experience with Docker containerization.
- Experience with CI/CD pipelines.
- Experience with Terraform or another infrastructure-as-code tool.
- Experience with workflow automation, lab orchestration, low-code platforms, or process automation tools such as Mendix, NAN, Nextflow, or similar.
- Ability to troubleshoot cloud workloads across permissions, networking, containers, logs, data pipelines, and service integrations.
Nice To Haves
- Experience with Vertex AI / Gemini Enterprise Agent Platform, including agents, model integration, or AI-enabled automation.
- Experience with BigQuery performance tuning and cost optimization.
- Experience with Dataflow, Dataproc, or Cloud Composer.
- Experience supporting lab systems, research platforms, scientific data workflows, or regulated data environments.
- Experience with Kubernetes, or serverless container platforms.
- Experience with cloud cost controls, logging, monitoring, and operational dashboards.
Responsibilities
- Design, build, and support solutions on GCP, including services such as BigQuery, BigTable, Cloud Run, Cloud Storage, Pub/Sub, Dataflow, Agent Platform (formerly Vertex Ai), and related cloud-native services.
- Develop and maintain ETL and data pipeline automation for structured and unstructured data workflows.
- Build automation using Python and shell scripting to support workflow execution, data movement, platform integrations, monitoring, and operational tasks.
- Support AI/ML and agent-based workloads including model integration, agent workflows, and AI-enabled automation where applicable.
- Containerize applications, scripts, services, and workflow components using Docker.
- Deploy containerized workloads to cloud-native platforms such as Cloud Run, or other managed GCP runtimes.
- Build and maintain CI/CD pipelines for application deployment, infrastructure changes, workflow automation, and data pipeline releases.
- Develop and maintain Terraform modules for repeatable GCP infrastructure deployments.
- Support and integrate workflow or lab orchestration platforms such as Mendix, NAN, Nextflow, or similar tools.
- Collaborate with application teams, data engineers, lab systems teams, and business stakeholders to translate workflow requirements into scalable cloud solutions.
- Contribute to best practices around cloud security, logging, monitoring, reliability, automation, and cost optimization.
Benefits
- A competitive salary and bonus package based on experience.
- Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
- Company-provided Life and Long-Term Disability Insurance.
- Company-sponsored 401(k) Plan.
- Team-focused culture and unlimited opportunity for advancement.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
