[Remote] Cloud Engineer & Workflow Automation Specialist
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
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.
Company Overview