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LeadRemoteIndia

Principal Enterprise Architect

J
jumio
Уровень
Lead
Формат
Remote
О роли

Описание вакансии

About the company

  • Jumio is pioneering the future of identity intelligence
  • Multi-tenant SaaS platform

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
  • Design self-service capabilities to reduce engineering overhead
  • Lead cloud cost efficiency initiatives
  • Collaborate closely with AWS Support and Solution Architects
  • Architect high-scale, distributed data processing pipelines for batch and real-time workloads
  • Optimize data storage, retrieval, and processing layers
  • Enable data self-service for analytics, ML, and real-time business use cases
  • Ensure data governance, security, and compliance
  • Guide engineering teams on architectural best practices
  • Coach teams on scalable microservices, event-driven architectures, and cloud-native patterns
  • Practice "Architecting by Example" through technical prototyping and proof-of-concepts
  • Integrate LLMs and agentic workflows that securely hyper-automate the development lifecycle
  • Lead the Jumio Architecture Review Council (ARC)
  • Establish and enforce architectural standards
  • Facilitate cross-team architectural reviews
  • Serve as the primary decision-maker for complex architectural trade-offs
  • Mentor engineering leadership

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); 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)

Conditions

  • Remote work in India
Стек и навыки

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