Principal Software Architect

Principal Software Architect

Reports to: Director, R&D Location: STL, Typical Offce Setting, Hybrid Schedule (3 days on site, 2 days WFH)

Position Summary

The Principal Software Architect is responsible for creating software for the development of innovative in vitro diagnostic solutions. This role defines and governs long-term technology strategy across cloud, data, and analytics domains, ensuring alignment with modern software design, regulatory compliance—including requirements specific to in vitro diagnostic (IVD) devices—and industry regulations. The architect partners with engineering teams, product leaders, quality, and regulatory stakeholders to ensure the ecosystem supports innovation while meeting stringent compliance and validation requirements.

Primary Duties

• Define end-to-end application architecture for complex systems, ensuring alignment with the organization’s technology standards and goals.

• Collaborate with multiple program managers and stakeholders to establish architecture for complex systems while addressing security, availability, maintenance, performance, and sustainability.

• Perform deep dive reviews of critical implementations while partnering with development and test engineering teams to deliver high-quality software solutions.

• Mentor software developers and architects to improve architecture decision-making and proactively manage technical debt.

• Define and maintain the target cloud architecture (Azure/WSGCOP) to support scalable, secure, and resilient systems.

• Establish multi-tier, domain-driven event-driven systems using updated domain design patterns.

• Guide the adoption of CI/CD pipelines, infrastructure-as-code, containerization (Docker/Kubernetes), and automated deployment strategies.

• Architect enterprise data platforms supporting warehouse, structured/unstructured data.

• Design scalable data pipelines, data lakes, and warehouse solutions to support analytics, machine learning, and operational workloads.

• Establish data governance frameworks, including data quality, lineage, security, and lifecycle management.

• Collaborate with data engineering teams to drive integration strategies, API design, and real-time/streaming data architectures.

• Provide architectural direction for teams on infrastructure, development tools, and modern development practices.

• Create and review architectural blueprints, system designs, and specifications.

• Lead design sessions with cross-functional teams to ensure alignment with technical strategy and engineering best practices.

• Evangelize architecture principles and strategy through mentoring, training, and documentation.

• Evaluate emerging technologies and methods, making recommendations based on business value and technical excellence.

• Lead cross-functional efforts to validate product concepts and assess execution feasibility.

• Develop proof-of-concepts to validate architecture strategy and accelerate processes across teams.

• Lead product concepts while adhering to company quality procedures and standards.

• Lead architecture innovation.

• Research and assess emerging trends and new technologies to contribute to the department’s technology initiatives.

Management Scope

• Decisions with short-term impact: Operational or tactical choices affecting immediate outcomes and daily team performance. With little-to-no supervisory review

• Decisions with long-term impact: Strategic choices influencing future direction, sustainability, and alignment with bioMérieux’s mission. With little-to-no supervisory review

 Supervisory Responsibilities (N/A)

Qualifications

Required Education, Training and Experience

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Biology, Microbiology, Clinical Laboratory Science, Biomedical Engineering, or a related technical or scientific field required.

• 10+ years of professional related experience in full-stack Java development, including HTML 5, CSS, Bootstrap, JavaScript, Angular, and Java J2EE and in an architectural role for cloud-native systems.

Preferred Education, Training and Experience

• Advanced degree in Computer Science, Data Engineering, Software Engineering, Biology, Microbiology, Clinical Laboratory Science, Biomedical Engineering, or a related technical or scientific field required

• Compliance exposure (e.g., HIPAA, SOX 505, 13485, 21 CFR 820, etc.) and IT and regulated SDLC concepts.

• AWS and Lambda