Solution Architect/Engineering Lead 0807-5

Key Responsibilities:

• Define backend, API, integration, event-driven, and service architecture patterns for partner experience product delivery.
• Ensure partner-facing systems are secure, scalable, observable, reliable, and supportable.
• Guide API design, authentication, authorization, versioning, data exchange, error handling, and integration standards.
• Assess technical risks across partner integrations, compliance obligations, service levels, and operational dependencies.
• Mentor engineers on backend quality, integration patterns, contract testing, performance, and production readiness.
• Coordinate with Product Managers, Architects, Security, Operations, Legal, Compliance, and partner-facing teams.

Preferred Skills

• Strong backend engineering experience in designing scalable, secure, and maintainable services for enterprise or partner-facing platforms.
• Hands-on experience with API design, API gateways, authentication and authorisation protocols, service contracts, versioning, and integration governance.
• Experience designing partner onboarding journeys, developer documentation, API catalogues, sandbox environments, integration guides, and support processes that make partner integrations clear, repeatable, and scalable.
• Practical knowledge of cloud-native architecture, microservices, event-driven patterns, containerisation, CI/CD, automated testing, contract testing, and release management practices.
• Experience with production readiness, observability, monitoring, incident management, reliability engineering, service level management, and operational support models.
• Good understanding of data exchange, data quality, integration error handling, auditability, privacy, security, compliance, metadata, data mapping, and interoperability considerations.
• Ability to assess and govern technology partner integrations, including technical due diligence, integration readiness, security review, API compliance, testing evidence, and go-live acceptance criteria.
• Strong understanding of external integration security, including OAuth2/OIDC, API keys, secrets management, rate limiting, access control, audit logging, and secure data exchange with external parties.
• Working knowledge of digital delivery workflows, project lifecycle information exchange, progress tracking, reality capture, digital handover, and multi-stakeholder coordination across project ecosystems.
• Awareness of AI-enabled workflow automation, structured data capture, data readiness, and governance considerations for applying AI across partner-facing and operational workflows.
• Ability to lead technical discussions with architects, product managers, security, operations, vendors, and external partners.
• Strong coaching skills to guide engineers on engineering discipline, code quality, performance, resilience, delivery confidence, and technical decision-making.
• Strong platform product mindset with the ability to balance delivery speed, technical debt, maintainability, partner usability, adoption, operational feedback, and long-term platform sustainability.