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Scientific Computing Cloud Architect

RCH Solutions -
Remote

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Job Details

Full-time

Benefits

Disability insurance
Health insurance
Dental insurance
401(k)
Vision insurance
Opportunities for advancement

Qualifications

Containerization systems
Data storage
Azure
GPU architecture
Linux support
GxP
High-performance computing clusters
System design
HIPAA
Business consulting
Infrastructure architecture design
Client services experience within consulting industry
GDPR compliance expertise
Programming languages
Regulatory Frameworks (Architecture security)
Health information regulatory compliance
Cloud compliance
Regulatory compliance analysis
Distributed computing
Linux administration
Design (software development lifecycle)
Bioinformatics
Cross-functional communication
Consulting firm experience
Metadata management

Full Job Description

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:

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.

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 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

Essential Qualifications:

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

Preferred Qualifications:

Experience in life sciences, biotech, or healthcare data environments

Additional information
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:

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.

**This role is fully remote and the candidate must be available to work on an East Coast time schedule.

**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.

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Refine Your Search

cloud computing architect jobs

Scientific Computing Cloud Architect

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