Job Description

Key Responsibilities

Platform Architecture & Technical Leadership

• Define and maintain the overall technical architecture, principles, standards, and roadmap for enterprise platforms.
• Lead the design and implementation of core platform capabilities, including authentication, single sign-on (SSO), role management, administration capabilities, workflow services, notifications, and shared platform components.
• Provide technical direction and governance across multiple delivery squads to ensure consistency, scalability, maintainability, and security.
• Establish architecture review processes and technical standards for platform and application development activities.

Application Modernisation & Migration

• Lead technical discovery and assessment activities for existing enterprise applications and services.
• Develop migration strategies, architecture patterns, and implementation plans for transitioning applications to modern enterprise platforms.
• Guide teams in modernising selected applications and redesigning backend services where required.
• Ensure seamless integration and interoperability between platform services, migrated applications, and external systems.
• Manage technical risks associated with migration, cutover, data integrity, and operational continuity.

Software Engineering & Delivery

• Lead solution design, technical implementation planning, and development execution across platform and application teams.
• Review solution designs, code, APIs, and technical deliverables to ensure quality and alignment with architecture standards.
• Champion engineering best practices including DevSecOps, CI/CD, automated testing, monitoring, observability, and infrastructure-as-code.
• Troubleshoot complex technical issues and provide hands-on support for critical architectural and integration challenges.
• Drive continual improvement of software delivery processes and platform reliability.

Cloud, Data & Integration

• Design cloud-native solutions that are secure, scalable, resilient, and cost-effective.
• Define integration patterns, API standards, event-driven architectures, and data exchange mechanisms.
• Oversee platform infrastructure, environments, deployment pipelines, monitoring, and operational tooling.
• Collaborate with data and AI teams to support analytics, AI-powered services, automation capabilities, and enterprise reporting requirements.
• Ensure compliance with cybersecurity, governance, and data management requirements.

Stakeholder & Team Leadership

• Partner with product managers and service designers to translate user needs into technical solutions.
• Engage stakeholders to explain technical options, trade-offs, and delivery implications.
• Mentor and coach engineers, fostering strong engineering and architectural capabilities across delivery squads.
• Work with vendors, consultants, and implementation partners where required.
• Contribute to resource planning, technical staffing, capability development, and delivery governance.

Requirements

Experience

• At least 8-12 years of relevant experience in software engineering, solution architecture, or platform development roles.
• Proven experience leading engineering teams delivering enterprise-scale digital platforms or mission-critical systems.
• Experience managing complex application modernisation, migration, and integration programmes.
• Strong track record of delivering cloud-native solutions in agile environments.
• Experience working with public sector, enterprise platforms, or large-scale operational systems would be advantageous.

Technical Skills

• Strong understanding of enterprise architecture and distributed systems design.
• Hands-on experience with Microsoft Azure.
• Experience designing and implementing API-driven architectures and microservices.
• Familiarity with authentication, identity management, RBAC, SSO, and enterprise security architectures.
• Experience with DevSecOps, CI/CD pipelines, monitoring, logging, and observability platforms.
• Knowledge of data integration, analytics platforms, workflow engines, and AI-enabled applications would be an advantage.

Leadership Competencies

• Strong stakeholder management and communication skills.
• Ability to balance strategic thinking with hands-on technical leadership.
• Strong analytical, problem-solving, and decision-making capabilities.
• Ability to manage multiple workstreams and priorities in a fast-paced environment.
• Passion for building high-performing engineering teams and mentoring technical talent.