Principal Enterprise Architect

Jumio

About The Position

Enterprise Architect - Cloud & AI Role Overview Jumio is not just processing transactions; we are pioneering the future of identity intelligence. To lead this transformation, you serve as a visionary AI Adoption Catalyst and Systems Architect, redefining our technical landscape. In this role, you aren’t a traditional gatekeeper—you are a Developer Advocate and mission-driven leader. You take end-to-end ownership of our architecture, positioning machine learning and GenAI at the heart of our DNA. Leveraging your deep expertise in AWS and cloud-native engineering, you provide the engine that empowers our developers to innovate at lightning speed, ensuring our multi-tenant SaaS platform remains the global benchmark for performance and scale. This is a mandate for a technical doer who thrives on the front lines. Building on our strong, scalable cloud foundation, you will actively champion the adoption of GenAI tools across the software development lifecycle while driving continuous architectural improvement, evolution, and operational cost optimization. Your proven experience in AWS is the toolkit you use to clear architectural roadblocks and optimize performance, enabling engineering teams to move with unprecedented velocity. As a strategic technical leader who stays close to the code, you inspire an AI-First culture. You bridge the gap between visionary enterprise design and pragmatic execution, driving cross-departmental impact while fostering self-service capabilities and cloud efficiency to ensure that as Jumio grows, our technology scales predictably and elegantly.

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 optimization 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 & 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.

Nice To Haves

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.

Responsibilities

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 optimize 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, optimizing infrastructure, model execution, and compute resources.
Collaborate closely with AWS Support and Solution Architects to optimize infrastructure and leverage cutting-edge cloud capabilities.
Architect high-scale, distributed data processing pipelines for batch and real-time workloads.
Optimize 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.
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 proof-of-concepts to validate architectural decisions.
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.
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 optimization.
Evolve architectural governance into a collaborative platform for ensuring system-wide coherence, security, and world-class scalability.
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 standardized decision-making processes.