About Us
RCH Solutions is a rapidly growing global provider of computational science expertise within Life Sciences and Healthcare. At RCH, our team rallies around a culture crafted for learning and achieving. We’re relentless in our pursuit for innovation and demanding of ourselves to deliver a ground-breaking computing experience for our clients, so that they can deliver life-saving science to humanity.
Core Values
At RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.
Our Core Values:
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Embrace Excellence: We strive for best-in-class delivery of innovation and service.
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Be Accountable: Integrity, ownership and accountability are non-negotiable.
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Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
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Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
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Boundaries and Balance: Work-life balance is a core facet of our culture.
If you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career.
Job Description
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.
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.
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Develop and maintain ETL and data pipeline automation for structured and unstructured data workflows.
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Build automation using Python and shell scripting to support workflow execution, data movement, platform integrations, monitoring, and operational tasks.
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Support AI/ML and agent-based workloads including model integration, agent workflows, and AI-enabled automation where applicable.
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Containerize applications, scripts, services, and workflow components using Docker.
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Deploy containerized workloads to cloud-native platforms such as Cloud Run, or other managed GCP runtimes.
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Build and maintain CI/CD pipelines for application deployment, infrastructure changes, workflow automation, and data pipeline releases.
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Develop and maintain Terraform modules for repeatable GCP infrastructure deployments.
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Support and integrate workflow or lab orchestration platforms such as Mendix, NAN, Nextflow, or similar tools.
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Collaborate with application teams, data engineers, lab systems teams, and business stakeholders to translate workflow requirements into scalable cloud solutions.
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Contribute to best practices around cloud security, logging, monitoring, reliability, automation, and cost optimization.
Essential Qualifications:-
Bachelor's Degree in Computer Science or equivalent work experience
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5 + years of hands-on experience with Google Cloud Platform.
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Experience with GCP services such as BigQuery, Cloud Run, Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, IAM, or networking.
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Strong programming and automation experience with Python.
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Experience supporting ETL pipelines, data movement workflows, or data processing automation.
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Experience with Docker containerization.
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Experience with CI/CD pipelines.
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Experience with Terraform or another infrastructure-as-code tool.
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Experience with workflow automation, lab orchestration, low-code platforms, or process automation tools such as Mendix, NAN, Nextflow, or similar.
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Ability to troubleshoot cloud workloads across permissions, networking, containers, logs, data pipelines, and service integrations.
Preferred Qualifications:-
Experience with Vertex AI / Gemini Enterprise Agent Platform, including agents, model integration, or AI-enabled automation.
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Experience with BigQuery performance tuning and cost optimization.
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Experience with Dataflow, Dataproc, or Cloud Composer.
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Experience supporting lab systems, research platforms, scientific data workflows, or regulated data environments.
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Experience with Kubernetes, or serverless container platforms.
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Experience with cloud cost controls, logging, monitoring, and operational dashboards.
Additional information
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
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A competitive salary and bonus package based on experience.
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Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
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Company-provided Life and Long-Term Disability Insurance.
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Company-sponsored 401(k) Plan.
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Team-focused culture and unlimited opportunity for advancement.
**This is a remote role and the candidate must be available to work on an East Coast (US) time schedule.
**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.
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