Cloud Engineer & Workflow Automation Specialist

RCH Solutions is a rapidly growing global provider of computational science expertise within Life Sciences and Healthcare. They are seeking a Google Cloud Platform (GCP) & Workflow Automation Engineer to design, automate, and operate cloud-based platforms that support lab and research applications, focusing on GCP engineering and workflow automation.

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

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
• 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