Key Responsibilities :

- Architect, design and lead the development of backend services using Python 3, with frameworks such as FastAPI.

- Define and oversee a microservices-based architecture (multi-tenant, event-driven, reactive) that supports high volume, secure operations.

- Own the security posture of our backend systems: threat modelling, vulnerability mitigation, secure APIs, data protection, access control.

- Lead deployment and operational practices: CI/CD pipelines, containerisation (Docker/Kubernetes), AWS infrastructure & configuration.

- Integrate AI/LLM capabilities into production systems: understanding model deployment, inference, data flows, utilizing LLMs/internal AI tools.

- Mentor and guide other engineers in best practices for clean code, architecture, testing, monitoring, observability and DevOps.

- Collaborate with product, frontend and AI teams to translate business use-cases into robust technical solutions and services.

- Establish metrics, monitoring, logging and alerting to ensure reliability, performance and maintainability of services.

Required Qualifications

- Around 10 years of professional engineering experience, with a significant portion in backend systems using Python 3.

- Proven experience with FastAPI (or equivalent modern Python frameworks) in production environments.

- Strong expertise in AWS cloud services, Kubernetes (or other container orchestration), deployment/infra as code and CI/CD practices.

- Deep understanding of secure software architecture: authentication/authorization (OAuth, SSO, RBAC), data security, OWASP best practices, threat analysis.

- Experience designing and building microservices architectures (multi-tenant, event-driven, reactive systems).

- Solid knowledge of relational databases (PostgreSQL) and data modelling/ORM layers; plus familiarity with event/streaming technologies is a strong plus.

- Experience integrating AI / LLM components or at least a solid understanding of how LLMs and AI workflows work in production.

- Excellent mentoring and leadership skills: able to lead a team of engineers, define architecture standards, drive code quality and operational excellence.

- Strong communication and collaboration skills, able to work across teams and align technical decisions with business goals.

Why Join Us :

- Opportunity to own and shape the core backend architecture of AI-first products.

- Work in a dynamic environment where innovation, clean engineering and scalability matter.

- Lead a growing engineering team and have a large impact.

- Exposure to AI/LLM tools and next-generation tech in a production setting.