Senior Developer

Education:

• Degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).

Required Experience:

• 5+ years' hands-on Python development, including experience building production applications with Python frameworks and libraries; Django experience is preferred.
• Experience working with well-structured domain models, clear service boundaries, and separation of business concerns in production systems.
• Experience developing applications for cloud and containerised environments, with an understanding of deployment to platforms such as AWS, Kubernetes, and OpenShift.
• Experience in regulated environments (banking/financial services) strongly preferred.

Key Responsibilities:

• You take responsibility for the domain models and structural decisions behind their platform, keeping the system coherent as the product and business evolve.
• Domain modelling: translate complex, evolving requirements into clear models with well-defined boundaries and ownership; practical experience with DDD and bounded contexts expected.
• Systems thinking: assess the wider impact of technical decisions on operations, reporting, integrations, downstream capabilities, and independently deployed client implementations with differing configurations or platform versions.
• Separation of concerns: place business rules within the right domain/application boundaries, clearly separating reusable core-platform capabilities from client-specific configuration, extensions, and integrations to avoid duplicated logic, unnecessary coupling, and fork divergence.
• Pragmatic simplicity: introduce structure where it earns its value; avoid both shortcuts and speculative abstraction.
• Evolutionary architecture: evolve production systems through backward-compatible changes, safe migrations, and incremental rollout; support safe upgrades across independently deployed client environments and multiple concurrently supported platform versions, using expand-and-contract patterns where appropriate.
• Production integrity: design for correctness under retries, failures, and recovery, with auditability, lineage, observability, and failure handling built in from the start.
• Lead the development and evolution of Python/Django platform services, from requirements and architecture through to production deployment across multiple client implementations.
• Design, build, and maintain backend systems in cloud/container environments (AWS, Kubernetes, OpenShift/K3s).
• Set technical direction across the core platform and client implementations, including codebase, API, and data model decisions; determine whether capabilities belong in the canonical platform or client-specific implementations, and review others' designs against these standards.
• Mentor junior and mid-level developers, including code review and technical guidance.
• Own technical delivery and proactively identify architectural, implementation, and operational risks in collaboration with the Development Manager and Technical Architect.
• Lead secure packaging and deployment of application artefacts, including offline and on-premises delivery mechanisms such as ISO images, for banking clients in regulated environments.
• Champion reusable CI/CD pipelines, automated testing, release practices, and cloud-native engineering standards across canonical platform repositories and client implementations.
• Take rotational production support duties and lead incident response when needed.
• Uses AI-assisted development tools responsibly to improve delivery speed while maintaining code quality, security, and review standards.

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