You will also leverage AI-powered engineering tools to improve technical investigation, solution design, debugging, and overall engineering effectiveness.
Key Responsibilities
Architecture & Design: Lead architectural planning and software design for new features, enhancements, and major technical initiatives, ensuring alignment with product requirements and long-term strategy.
System-Level Technical Leadership: Maintain a deep understanding of the product architecture, major components, operating environments, and dependencies across the broader product ecosystem.
System Integration: Analyze interactions between product components and external systems, addressing complex compatibility, interoperability, and integration challenges across on-premises and cloud environments.
Technical Investigation & Problem Solving: Investigate complex software and system-level issues through debugging, root cause analysis, reverse engineering etc. Define effective solutions to challenging technical problems.
Architectural Quality: Drive architectural consistency and engineering best practices, with a focus on performance, scalability, security, reliability, and maintainability. Identify opportunities to simplify existing designs and reduce technical debt.
Technical Decision-Making: Evaluate architectural alternatives, communicate design decisions and trade-offs, assess technical risks, and document architecture and design specifications as needed.
Cross-Functional Collaboration: Work closely with R&D, Product Management, DevOps, and other stakeholders to align on architectural direction and ensure successful execution of complex initiatives.
Technology Evaluation & Innovation: Evaluate emerging technologies, frameworks, and engineering approaches to address current and future product needs and improve the product's technical capabilities.
AI-Enabled Engineering: Effectively leverage AI-powered tools for technical analysis, debugging, architecture design, development, testing, and documentation. Identify opportunities to improve engineering efficiency through AI-assisted workflows.
Requirements
10+ years of software development experience, including significant experience in software design and architecture.
Strong hands-on experience in C++ development and the design of complex software systems.
Proven experience leading software architecture and design for medium-to-large-scale software projects.
Strong knowledge of operating systems, particularly Linux and Windows, including OS internals, system-level programming, and debugging.
Experience with cloud environments and architectures, including deployment, integration, and troubleshooting; AWS experience is highly desirable.
Proven ability to investigate and troubleshoot complex technical issues using advanced debugging techniques, root cause analysis, reverse engineering.
Strong architectural thinking, with the ability to translate complex technical and performance constraints into simple, robust, and maintainable solutions.
Demonstrated ability to understand complex systems in depth and design innovative technical solutions within a product or technology domain.
Proficiency in AI-powered engineering tools and the ability to apply them effectively to technical investigation, design, and problem solving.
Strong communication, collaboration, and technical leadership skills, including the ability to explain complex technical concepts and architectural trade-offs clearly.
Ability to evaluate new technologies and frameworks and assess their applicability to product architecture.
Bachelor’s degree in computer science, Electrical Engineering, or a related field, or equivalent practical experience.
Nice to have
Familiarity with agent-based architectures.
Experience working with products that integrate on-premises software with cloud-based services.
Experience driving architectural improvements across multiple product components or engineering teams.
Thales, champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.