Lead Software Engineer

About the Role

Lead / Principle Software Engineer

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.