RCH Solutions

General

• Work closely with customer stakeholders, scientists, and IT professionals to deliver Compute at Scale and support our customer's scientific initiatives.
• Develop, evolve, and administer HPC platforms along with support for Scientific applications, workflows, and other related infrastructure both on-prem and Cloud hosted.
• Drive architecture, roadmaps, and execution of projects to establish and operate IT infrastructure best practices for customers.
• Provide full stack support - design and evolution of platforms, application administration, supporting customer workflows, profiling and performance tuning, monitoring and maintenance of scoped systems, platform and systems administration, troubleshooting hardware, software, and networking related issues.
• Provide consulting services and recommendations to clients as part of customer Research or Analytics initiatives.

Scientific Computing Specialist

Cloud Engineer

• Design and deliver scalable, secure, and compliant cloud solutions supporting life sciences, bioinformatics, and data-intensive workloads.
• Architect and support high-performance computing (HPC) environments, enterprise data platforms, and governed data ecosystems aligned with FAIR principles and regulatory requirements (GxP, GDPR, HIPAA).
• Provide technical leadership across solution lifecycle (design → implementation → optimization).
• Lead technical discovery sessions and design reviews.
• Act as a trusted advisor to clients, guiding them through architecture decisions and industry best practices.
• Promote automation and infrastructure-as-code practices (Terraform, Ansible).

Scientific Computing Cloud Architect

• 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.

Scientific Computing Specialist

Scientific Computing Cloud Architect

Cloud Engineer – Workflow Automation Specialist