Principal Enterprise Architect - Cloud & AI

The candidate will have responsibilities across the following functions:

End-to-End System Architecture and Optimisation:

• Own the technical vision for scalable, high-performance, cost-efficient systems.
• Define modern architecture patterns that enable growth, high TPS, and seamless scaling.
• Architect and optimise multi-tenant SaaS platforms, ensuring configurability and performance.
• Design self-service capabilities to reduce engineering overhead (e. g., self-service workflow designer, self-service rules engine, self-service reporting).
• Lead cloud cost efficiency initiatives, optimising infrastructure, model execution, and compute resources.
• Collaborate closely with AWS Support and Solution Architects to optimise infrastructure and leverage cutting-edge cloud capabilities.

Data and AI Infrastructure:

• Architect high-scale, distributed data processing pipelines for batch and real-time workloads.
• Optimise data storage, retrieval, and processing layers to enhance system performance and reduce cost.
• Enable data self-service for analytics, ML, and real-time business use cases.
• Ensure data governance, security, and compliance across all systems.

Technical Leadership and Hands-on Architecture:

• Guide engineering teams on architectural best practices and pragmatic execution.
• Coach teams on scalable microservices, event-driven architectures, and cloud-native patterns.
• Practice "Architecting by Example" through technical prototyping and proofs-of-concept to validate architectural decisions.

GenAI Acceleration and Architectural Advocacy:

• You serve as the AI Adoption Catalyst and engineering champion, actively partnering with developers and business units to integrate LLMs and agentic workflows that securely hyper-automate the development lifecycle.
• You clear roadblocks and deploy agile architectural guardrails that empower teams to experiment rapidly with automated AI tools, building a self-service AI culture while maintaining rigorous cost-performance optimisation.
• Your leadership evolves architectural governance into a collaborative platform for ensuring system-wide coherence, security, and world-class scalability.

Architectural Governance and ARC Leadership:

• Lead the Jumio Architecture Review Council (ARC) to drive cross-functional alignment and the evolution of our technical landscape.
• Establish and enforce architectural standards, ensuring consistency, security, and scalability across all product teams.
• Facilitate cross-team architectural reviews to identify technical debt, drive alignment, and ensure strategic coherence.
• Serve as the primary decision-maker for complex architectural trade-offs, balancing immediate delivery needs with long-term system health.
• Mentor engineering leadership on architectural best practices and standardised decision-making processes.

Requirements:

• 12+ years of hands-on experience in system architecture, data engineering, cloud engineering, or technical leadership roles.
• Experience with multi-tenant architectures and designing frameworks for configurable SaaS platforms.
• Deep, hands-on expertise in AWS (e. g., EKS, IAM, Lambda, networking) is required; professional experience with GCP is a strong plus.
• Strong experience with distributed systems, microservices, event-driven architectures, and caching strategies.
• Hands-on knowledge of AI/ML model execution—understanding model inference performance, cost trade-offs, and optimisation strategies.
• Proficiency in high-scale transactional systems.
• Experience with infrastructure automation (Terraform, CI/CD, Kubernetes, Docker).
• Strong coding skills (Expert in Java, Strong in Python, Knowledgeable in JavaScript/TypeScript and Kotlin).
• Strong experience leading architectural review processes and fostering engineering standards.
• Proven expertise in integrating GenAI and ML methodologies into the software development lifecycle.
• Proven ability in strategic stakeholder management and complex financial/TCO (Total Cost of Ownership) analysis for enterprise technology.
• Experience with high-volume, real-time data processing and distributed streaming architectures.
• Experience building petabyte-scale distributed data platforms.
• Familiarity with fraud prevention, identity verification, or authentication technologies.
• Ability to align long-term business goals with technical roadmaps.
• Strong decision-making skills to balance technical excellence with delivery speed.
• Ability to mentor engineering teams and promote architectural best practices.