Key Responsibilities

End-to-End System Architecture & Optimization

- 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.

Data & AI Infrastructure

- 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.

Technical Leadership & 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 proof-of-concepts to validate architectural decisions.

GenAI Acceleration & 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 optimization.
- Your leadership evolves architectural governance into a collaborative platform for ensuring system-wide coherence, security, and world-class scalability.

Architectural Governance & 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 standardized decision-making processes.

Who You Are

- Strategic Visionary—you connect long-term business goals with robust technical roadmaps.
- Ultra-technical—you design, build, and optimize systems with a hands-on approach.
- System-First Thinker—you prioritize architecture, efficiency, and scale in every decision.
- Cloud-Native Expert—you utilize your deep AWS knowledge to optimize costs while improving system performance.
- Pragmatic Decision Maker—your impact-driven solutions ensure technical excellence without sacrificing speed.




- Builder's Mentality—you thrive on automation, self-service, and reducing engineering toil through GenAI adoption.
- Growth-Oriented Mentor—you teach, coach, and elevate the engineering teams through architectural advocacy.

Must-Have Skills & Experience

- 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, Solid 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-Have Skills

- 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.

📌 Principal Enterprise Architect - Cloud & AI (Bengaluru)
🏢 Talento Joias
📍 Bengaluru