Lead architectural design and ensure technical consistency.
Design, develop, and maintain generative AI services and reusable components using Python.
Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.
Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
Lead the resolution of complex technical challenges across distributed systems.
Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.
Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.
Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.

5+ years of software engineering experience
Proven experience leading technical architecture for large-scale platforms or services
Solid understanding of software development methodologies and data modelling principles
Deep expertise in Python (or failing that, Java)
Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph)
Strong experience with Kubernetes (EKS) and cloud-native architectures
Proven record of building scalable backend systems and APIs
Experience mentoring engineers and contributing to architectural decisions
Ability to work collaboratively across functions in an Agile or Kanban environment

Senior Software Engineer II – Data Engineering

Key skills