our Responsibilities

• Define and drive the architecture, design, and technical direction of complex software platforms throughout the entire development lifecycle, from analysis to release
• Translate customer and business requirements into scalable, secure, and reusable platform solutions while actively challenging assumptions and identifying the best approach
• Develop high-level platform specifications with a strong focus on system integration, performance, quality, maintainability, cyber security, resilience, and scalability
• Lead architectural discussions, guide technical decision-making, and provide coaching to architects, software engineers, and platform engineers
• Ensure platform solutions avoid unnecessary complexity and are fit for purpose, balancing business value and technical excellence
• Plan, review, and supervise architecture quality, implementation quality, testing activities, and technical governance processes
• Promote reuse by defining modular architectures, reusable components, and platform capabilities that can support future products and projects
• Leverage AI tools and technologies to improve development efficiency, software quality, architectural decision-making, and engineering productivity while actively supporting AI adoption across teams
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Your Profile

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• Several years of experience in software development, software architecture, and platform engineering, including technologies such as C, C#, Java, SQL, Docker, Kubernetes, and cloud-native environments
• Expert knowledge of software architecture principles, application design, system modeling methods, and software quality assurance
• Strong understanding of system integration, cyber security, test management, and modern software development practices
• Proven ability to lead complex technical initiatives, guide cross-functional teams, and communicate effectively with both technical and business stakeholders
• Experience working with multiple products or platforms and designing reusable, product-oriented architectures
• Good understanding of how Artificial Intelligence can be applied effectively in software development, architecture design, automation, code quality, testing, and engineering workflows
• Relevant certifications such as Certified Software Architect or comparable qualifications are considered an advantage
• 
  
• 
  

our Responsibilities

• Define and drive the architecture, design, and technical direction of complex software platforms throughout the entire development lifecycle, from analysis to release
• Translate customer and business requirements into scalable, secure, and reusable platform solutions while actively challenging assumptions and identifying the best approach
• Develop high-level platform specifications with a strong focus on system integration, performance, quality, maintainability, cyber security, resilience, and scalability
• Lead architectural discussions, guide technical decision-making, and provide coaching to architects, software engineers, and platform engineers
• Ensure platform solutions avoid unnecessary complexity and are fit for purpose, balancing business value and technical excellence
• Plan, review, and supervise architecture quality, implementation quality, testing activities, and technical governance processes
• Promote reuse by defining modular architectures, reusable components, and platform capabilities that can support future products and projects
• Leverage AI tools and technologies to improve development efficiency, software quality, architectural decision-making, and engineering productivity while actively supporting AI adoption across teams
• 
  

Your Profile

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• Several years of experience in software development, software architecture, and platform engineering, including technologies such as C, C#, Java, SQL, Docker, Kubernetes, and cloud-native environments
• Expert knowledge of software architecture principles, application design, system modeling methods, and software quality assurance
• Strong understanding of system integration, cyber security, test management, and modern software development practices
• Proven ability to lead complex technical initiatives, guide cross-functional teams, and communicate effectively with both technical and business stakeholders
• Experience working with multiple products or platforms and designing reusable, product-oriented architectures
• Good understanding of how Artificial Intelligence can be applied effectively in software development, architecture design, automation, code quality, testing, and engineering workflows
• Relevant certifications such as Certified Software Architect or comparable qualifications are considered an advantage
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