Job Overview
We are seeking a highly experienced Solution Architect to lead the design and implementation of enterprise-level architecture solutions that drive innovation, scalability, and operational excellence. This role is critical to modernizing legacy systems, enabling seamless data integration, and supporting digital transformation initiatives within the nuclear/manufacturing sector.
Key Responsibilities
Architectural Design & Strategy
– Develop comprehensive architecture solutions aligned with organizational goals and technology strategies.
– Define and enforce architectural standards, patterns, and best practices across projects.
– Lead the transition from monolithic applications to microservices-based architectures, including containerization.
Cloud & Integration
– Architect and implement Microsoft Azure solutions for scalability, reliability, and security.
– Design and manage APIs for seamless data integration across multiple platforms.
– Oversee integration of SAP solutions with existing enterprise systems.
Modernization & Optimization
– Upgrade legacy systems (Visual Basic 6, Centura, Gupta) to modern technologies.
– Implement SCADA and Pi solutions to optimize operational efficiency.
– Drive adoption of DevOps practices for continuous integration, delivery, and deployment.
Data & Analytics
– Architect robust data platforms to support analytics and data-driven decision-making.
– Integrate Business Intelligence (BI) and Artificial Intelligence (AI) tools to deliver actionable insights.
Technical Leadership
– Provide mentorship and guidance to development teams on modern frameworks (Angular, React, .NET, SQL).
– Collaborate with cross-functional teams to ensure successful project delivery and stakeholder satisfaction.
– Maintain comprehensive documentation of architecture designs, processes, and standards.
Qualifications
– Bachelor’s degree in Computer Science, Mathematics, or related field.
– Minimum 10 years in solution architecture and design, with proven leadership in large-scale projects.
– Microsoft Azure, API management, integration platforms, DevOps, SCADA systems, Pi solutions.
– Architecture patterns: microservices, MVC, and containerization.
– Modern frameworks: Angular, React, .NET, SQL.
– Legacy system modernization and enterprise integration.
– Experience in nuclear or manufacturing industries.
– Certifications: Microsoft Certified: Azure Solutions Architect Expert, SAP Certification, CCSP, or similar.
CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.
AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.
CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.
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