Senior Product Software Engineer (AI Native)

Join our team as a Senior Product Software Engineer (AI Native). In this role, you will own software solutions from discovery through production, translating customer and business needs into secure, reliable, scalable, and maintainable software products. You will analyze ambiguous requirements, clarify objectives, evaluate alternatives, and determine solution strategies. Additionally, you will design, develop, test, implement, maintain, and improve software applications, services, and platforms using approved AI-assisted approaches. You will also provide technical guidance, troubleshoot and resolve issues, and collaborate with various stakeholders.

• Posséder des solutions logicielles de la découverte à la production, en traduisant les besoins des clients et des entreprises en produits logiciels durables.
• Analyser les exigences ambiguës, clarifier les objectifs, évaluer les alternatives et déterminer les stratégies de solution.
• Concevoir, développer, tester, mettre en œuvre, maintenir et améliorer des applications, des services et des plateformes logicielles.
• Education (Required): Bachelor’s degree in a relevant field, or equivalent demonstrated experience
• Work Experience (Required): 4-6 years of relevant experience in product software engineering
• Application Security Principles: The ability to apply application security controls that prevent, detect, and respond to vulnerabilities, including secure coding, access control, authentication, and security testing
• Agile: The ability to respond to change swiftly and effectively, with emphasis on continuous improvement, adaptive planning, and flexibility
• Design: The ability to structure software so it is understandable, changeable, secure, operable, and fit for the problem. Includes decomposing systems, defining interfaces and contracts, selecting appropriate patterns, and designing for testability
• Analysis: The ability to examine complex situations or problems, break them into smaller parts, and understand how the parts work together
• Problem Solving: The ability to understand a complex situation or issue and devise a solution by defining the problem, identifying potential strategies, and choosing and implementing the most effective course of action
• Version Control: The ability to work effectively in a shared codebase using branching, review, and merge practices. Includes writing reviewable changes, reviewing others’ work, maintaining a clean history, and using the repository as a record of why a system is the way it is
• Specification Driven Development: The ability to translate customer needs, business objectives, and product intent into clear, structured, and testable specifications that guide design, engineering, validation, and delivery. Uses specifications as the primary mechanism to align stakeholders, reduce ambiguity, enable AI-assisted development, and ensure solutions deliver the intended customer and business outcomes
• Advanced Technology Adoption and Utilization: Applies specification-driven and evaluation-driven approaches to ambiguous work. Provides context, constraints, and evaluation criteria, validates generated output, and coaches others on appropriate responsible use
• Testing: The skill of evaluating a system or process to identify problems, measure effectiveness, and ensure quality or functionality
• Documentation: The ability to create, organize, maintain, and communicate technical information so it is current, accessible, and useful
• Software Development: The ability to produce working software that meets its requirements, whether by writing it, directing approved tools that generate it, or reviewing and taking accountability for contributed work. Includes designing, testing, implementing, and the ability to read, trace, and diagnose code regardless of who or what produced it
• Relational Database: The ability to design, implement, and manipulate relational databases, including proficiency in SQL, database management systems, and database design principles
• APIs: The ability to design, develop, and manage application programming interfaces, including documentation, security, and testing practices that enable software systems to communicate
• Framework: The ability to understand, use, design, and develop complex structures and systems in programming and related engineering contexts
• Software Engineering: The ability to design, develop, and maintain software systems and applications by applying principles and techniques of computer science, engineering, and mathematical analysis. This includes the capacity to understand user requirements, create and test software, and resolve software-related issues
• Programming: Ability to build software that achieves intended outcomes by writing code, directing approved code-generation tools, or both. Includes the ability to interpret specifications, apply specification-driven development (SDD) practices, and read, trace, test, debug, and improve code regardless of its origin
• Strategic Judgment: Makes high-quality prioritization decisions, especially what not to pursue
• Organizational Velocity: Increases speed by removing friction, simplifying decisions, and accelerating execution
• Ownership Mindset: Acts like an owner, takes accountability for outcomes beyond formal role boundaries, and creates disproportionate business value while respecting security, regulatory, financial, and delegated decision-making controls
• Talent Multiplier: Raises standards, attracts talent, develops future leaders, and builds excellence cultures
• Inspiration & Alignment: Motivates achievement by aligning individual, team, and organizational goals
• Product & Market Instinct: Balances technology decisions with customer, market, and business realities
• Inclusive Collaboration: Models inclusion and collaboration by involving team members in decision making, respecting colleagues, and partnering across organizational boundaries
• Technical Innovation & Leverage: Creates innovative solutions whose impact far exceeds the effort required to build them
• Learning Velocity: Rapidly acquires and applies new capabilities ahead of business needs
• Functional Expertise: Maintains and applies current knowledge of relevant practices and science in the field of expertise
• Engineering Leverage: Improves engineering productivity through tools, platforms, frameworks, and automation
• Constructive Disruption: Improves outcomes by challenging assumptions with evidence, pragmatism, and low ego
• Operational Expertise: Identifies opportunities for improved operational efficiency, applies quality standards, and ensures accuracy and completeness of work outputs
• Enterprise Mindset: Optimizes for enterprise outcomes rather than local team wins
• Courage to Take Smart Risks: Balances potential risk with impact, encourages thoughtful experimentation, and facilitates learning from responsible risk-taking
• AI-Native Thinking: Reimagines work and business models through AI-first thinking
• Analytical Skills: Takes a logical and systematic approach to solving problems and contributes quality alternative solutions that add value for the customer
• Clean Code practices
• Strong experience as a Full Stack Software Engineer
• Solid understanding of:
• Domain-Driven Design (DDD)
• Asynchronous messaging systems (RabbitMQ, MassTransit, Azure Service Bus)
• RESTful APIs and microservices architectures
• C#, .NET Framework, .NET Core, <ASP.NET> Web API
• Redis
• Advanced knowledge of:
• OOP, SOLID principles
• SQL and relational database design
• If you think that you have the needed requirements click on the apply button to join us and be the difference. If making a difference matters to you, then you matter to us
• Angular