remote
Cloud Engineer & Workflow Automation Specialist - RCH Solutions
Devops Engineer
Cloud Engineer focused on designing, deploying, and automating scalable cloud solutions using AWS, Terraform, and Kubernetes, while building robust CI/CD pipelines and workflow automation to accelerate life‑science research and healthcare data processing.
About the role
- Embrace Excellence: We strive for best-in-class delivery of innovation and service.
- Be Accountable: Integrity, ownership and accountability are non-negotiable.
- Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
- Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
- Boundaries and Balance: Work-life balance is a core facet of our culture.
- 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.
- 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