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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Scientific Computing Cloud Architect - **Company:** Rch Solutions - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Computing Platforms, Microsoft Azure, Bash Shell, Bioinformatics, Cloud Computing, Cloud Engineering, Computer Programming, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Linux, File Systems, Distributed Data Store, Identity and Access Management, Information Lifecycle Management, Python (Programming Language), Metadata, Meta-Data Management, Performance Tuning, Cloud Services, Ansible, Scientific Computating, Software Deployment, Systems Architecture, Enterprise Data Management, Data Processing, High Performance Computing, Data Ingestion, Containerization, Kubernetes, Infrastructure Automation Frameworks, Data Management, Slurm, Terraform, Data Pipelines, GXP, Docker - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=75121388997a6d91 ## About the Role Do you have experience in System design?, * 10-12+ years of experience in cloud architecture, infrastructure, or platform engineering * Cloud Professional Certification(s) * Proven expertise in: + HPC administration (Slurm or similar) + GPU-enabled computing environments + Linux system architecture and administration * Strong experience designing enterprise data platforms and data pipelines * Knowledge of: + Data governance, metadata management, and data lifecycle frameworks + Security and compliance standards (GxP, HIPAA, GDPR) * Experience working in client-facing or consulting environments * Excellent communication and cross-functional collaboration skills * Familiarity with: + Bioinformatics workflows (e.g., genomics pipelines) + Scientific workflow orchestration tools * Experience with: + Containerization (Docker) and orchestration (Kubernetes) + Distributed storage systems and high-performance file systems + Azure CycleCloud or equivalent HPC orchestration platforms * Programming/scripting: Python, Bash, or similar, * Experience in life sciences, biotech, or healthcare data environments ## Description RCH Solutions is seeking an experienced Cloud Solution Architect to design and deliver scalable, secure, and compliant cloud solutions supporting life sciences, bioinformatics, and data-intensive workloads. This role will focus on architecting and supporting high-performance computing (HPC) environments, enterprise data platforms, and governed data ecosystems aligned with FAIR principles and regulatory requirements (GxP, GDPR, HIPAA). The ideal candidate combines deep technical expertise in cloud-native HPC and data architectures with a strong understanding of life sciences workflows, data governance, and compliance frameworks. While RCH Solutions Architects will oversee teams implementing scoped solutions and act as an escalation point for team members, they will also drive the hands-on implementation and deployment of solutions and troubleshooting efforts. Core Responsibilities: 1. Solution Architecture & Strategy Provide technical leadership across solution lifecycle (design implementation * optimization) + Lead technical discovery sessions and design reviews + Translate complex scientific and business requirements into scalable, production-ready solutions + Define end-to-end cloud architecture strategies for life sciences clients, aligning with business and scientific objectives + Lead architecture design for hybrid and cloud-native HPC platforms * Act as a trusted advisor, guiding clients through architecture decisions and industry best practices 2. HPC & Accelerated Computing Platforms * Architect and deploy HPC environments * Design GPU-enabled architectures * Optimize for performance, scalability, and cost efficiency across distributed compute systems 3. Enterprise Data & Analytics Platforms * Architect modern data platforms to support scientific and operational workloads * Design and implement: + Data ingestion frameworks (ETL/ELT, streaming pipelines) + Metadata and lineage management solutions * Align data platforms to FAIR principles for scientific data usability and reproducibility * Enable downstream use cases including analytics, AI/ML, and data science 4. Governance, Security & Regulatory Compliance * Design compliant architectures aligned with: + GxP validation frameworks + HIPAA data protection requirements + GDPR privacy and data handling guidelines * Implement enterprise-grade: + Access controls and IAM strategies + Data encryption, auditing, and traceability * Support documentation and validation requirements for regulated workloads 5. Client Engagement & Leadership * Act as a trusted advisor to clients * Facilitate architecture workshops, design reviews, and technical discovery sessions * Bridge business, scientific, and engineering teams to ensure aligned outcomes * Provide hands-on guidance during POCs, migrations, and production deployments * Contribute to solution proposals, roadmaps, and technical strategy development 6. Engineering Enablement & Best Practices * Promote automation and infrastructure-as-code practices (Terraform, Ansible) * Encourage best practices for: + Performance optimization + Cost management + Security and governance * Mentor engineering teams and support capability development ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Discover the open source trio you didn’t expect: .NET and PostgreSQL on Linux](https://www.wearedevelopers.com/videos/2042-discover-the-open-source-trio-you-didn-t-expect-net-and-postgresql-on-linux) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)