• Deliver robust and scalable solutions, incorporating new technologies as appropriate. • Use Agile/Scrum/Kanban methodologies as a contributing team member throughout the software development lifecycle. • Support development and delivery of SaaS software applications, including integrations, APIs, and shared libraries. • Collaborate with product, QA, and customer-facing teams to deliver secure, reliable, cloud-based software solutions. • Follow engineering standards, source code management best practices, and documentation guidelines under senior guidance. • Participate in code reviews for front-end and back-end SaaS and mobile applications and incorporate feedback constructively. • Support automation of static and dynamic code analysis (SAST/DAST) and software composition analysis (SCA). • Assist in delivering cloud services/platforms, APIs, microservices, serverless computing, and data storage solutions. • Contribute to continuous improvement of the application lifecycle, architecture, and tech stack; help minimize technical debt. • Support the DevOps process and CI/CD pipeline to produce well-written, well-tested builds. • Assist in diagnosing and resolving performance problems and architectural challenges under senior supervision. • Actively use AI-powered development tools (such as GitHub Copilot, Windsurf, and Claude) to accelerate coding, improve code quality, support debugging, inform design decisions, and generate documentation. • Leverage AI tools responsibly: review, validate, and take ownership of all AI-generated code and suggestions. • Participate in review board sessions to drive quality and consistency. • Ensure delivered solutions meet technical and functional/non-functional requirements. • Collaborate across teams and contribute to a positive, inclusive engineering culture.

• Development and Architecture: Evolving critical systems in PHP (Laravel and other frameworks) and Vue.js, handling the full lifecycle from requirements analysis and architectural design to deployment, ensuring the sustainability of products such as Domain Registration (national/international), SSL (Let's Encrypt/SNI), Checkout and Control Panel (DNA). • Quality and Maintenance: Orchestrating automated tests (unit and integration) and maintaining CI/CD pipelines with Docker, investigating root causes of complex incidents and mitigating technical debt in legacy systems. • Mentorship and Agile Processes: Providing direct support to the Tech Lead in technical decision-making, conducting code reviews focused on continuous improvement, performing pair programming, and sharing development best practices with less-experienced team members. • Business Collaboration: Actively working with Product Owners and stakeholders to map technical stories and define requirements in an agile way, transforming business needs into high-performance, scalable software solutions.

• Lead Agent Development: Drive the development of Owkin’s Data Transformation Agent (DTA) and actively contribute to the core components and agents of our platform, "K-Pro." • Orchestrate Data Workflows: Design, implement, and maintain complex data transformation workflows, leveraging tools like Apache Airflow for robust and scalable orchestration. • Deployment and Integration: Manage the seamless integration and deployment of the DTA within Owkin's broader Data Platform infrastructure. • Ensure Code Excellence: Define and enforce robust engineering practices, including Test-Driven Development (TDD), defining best practices for deployment, QA, and maintaining infrastructure, and performing code reviews to ensure high standards. • Technical Leadership: Guide key technical choices and tradeoffs, plan the development goals and milestones for software packages, and focus on performance optimization. • Stakeholder Collaboration: Interface directly with internal customers and research engineers to gather requirements and efficiently resolve implementation bottlenecks.

• Design, develop, and maintain comprehensive GenAI-powered applications. • Create user-friendly, responsive UIs using contemporary JavaScript frameworks. • Construct scalable backend services and APIs utilizing Python and FastAPI. • Execute AI workflows and orchestration. • Work in collaboration with product, design, and AI teams to convert requirements into high-quality outcomes. • Deploy, monitor, and enhance applications in cloud environments. • Adhere to best practices for performance, security, and scalability.