Cloud Solution Architect

About the profile We are 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. 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 advisorto 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. Requirements - Must have - 10-12+ years of experience in cloud architecture, infrastructure, or platform engineering. - Experience in life sciences, biotech, or healthcare data environments. - 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. Requirements - Nice to have - Experience in life sciences, biotech, or healthcare data environments. Languages - Advanced English proficiency (C1-C2 level). What we offer - Hybrid work model. - The role requires working in EST business hours (9:00 a.m. - 5:00 p.m. EST). - 25 holiday days per year. - Possibilities of career development and the opportunity to shape the company’s future. - An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged. - Different training programs to support your personal and professional development. - Work in a fast-growing, international company. - Friendly atmosphere and supportive Management team. About us MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others. MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance.