Principal Enterprise Architect

Accountabilities: • Own the technical vision and architecture strategy for scalable, high-performance, and cost-efficient enterprise systems.

• Define modern architecture patterns that support rapid growth, high transaction volumes, reliability, and seamless scalability.

• Design and optimize multi-tenant SaaS platforms with strong configurability, performance, and operational efficiency.

• Develop self-service capabilities that reduce engineering effort, including workflow designers, rules engines, reporting solutions, and AI-enabled tools.

• Lead cloud cost optimization initiatives covering infrastructure, compute resources, model execution, and operational efficiency.

• Partner with cloud support and solution architecture teams to optimize infrastructure and leverage emerging cloud capabilities.

• Architect high-scale distributed data processing platforms supporting both batch and real-time workloads.

• Optimize data storage, retrieval, processing, governance, security, and accessibility for analytics, machine learning, and business use cases.

• Guide engineering teams on microservices, event-driven architectures, cloud-native patterns, scalability, and architectural best practices.

• Validate architectural decisions through hands-on prototyping, proof-of-concepts, and technical experimentation.

• Champion the adoption of GenAI, LLMs, and agentic workflows across the software development lifecycle while maintaining appropriate security, governance, and cost controls.

• Lead architectural governance and cross-functional reviews, identifying technical debt, resolving complex trade-offs, and maintaining long-term system coherence.

• Establish and promote architectural standards across product teams and mentor engineering leaders on effective technical decision-making.

Requirements

• 12+ years of hands-on experience in system architecture, data engineering, cloud engineering, or technical leadership roles.

• Extensive experience designing multi-tenant architectures and configurable SaaS platforms.

• Deep hands-on expertise with AWS, including technologies such as EKS, IAM, Lambda, and cloud networking; professional GCP experience is a strong plus.

• Strong knowledge of distributed systems, microservices, event-driven architectures, caching strategies, and high-scale transactional platforms.

• Hands-on understanding of AI/ML model execution, including inference performance, cost trade-offs, and optimization strategies.

• Experience with infrastructure automation and modern engineering practices using technologies such as Terraform, CI/CD, Kubernetes, and Docker.

• Expert-level Java development skills and strong Python capabilities, with knowledge of JavaScript/TypeScript and Kotlin.

• Proven experience leading architectural review processes, establishing engineering standards, and driving technical alignment across teams.

• Demonstrated success integrating GenAI and machine learning approaches into software development processes.

• Strong strategic stakeholder management skills, with the ability to communicate complex technical concepts and align diverse teams around common objectives.

• Experience conducting or contributing to complex financial and Total Cost of Ownership (TCO) analysis for enterprise technology.

• Strong strategic thinking combined with a hands-on, pragmatic, and execution-oriented mindset.

• Ability to coach, mentor, influence, and bring engineering teams along through technology transformation.

• Experience working in fast-paced environments where multiple priorities require sound architectural judgment and decisive execution.

Benefits

• Competitive compensation with a high level of ownership and responsibility.

• Opportunity to influence technology architecture at significant scale.

• Hands-on involvement in complex cloud, AI/ML, distributed systems, and SaaS initiatives.

• Opportunity to drive GenAI adoption and shape AI-enabled software development practices.

• Collaboration with experienced engineers and AI/ML specialists on technically challenging projects.

• Exposure to modern cloud infrastructure and opportunities to drive continuous platform modernization.

• Opportunity to work on real-world security, identity, and high-volume transaction challenges.

• Remote work opportunity based in India.

• Inclusive and multicultural environment that values diverse perspectives and collaboration.

• Opportunity to contribute to innovative technology initiatives with global impact.

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