This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Enterprise Architect based in India.
The Principal Enterprise Architect will shape the technical vision for highly scalable, cloud-native, and AI-enabled enterprise systems. You will combine strategic architecture leadership with hands-on technical expertise to modernize platforms, improve performance, and optimize cloud costs. The role has a strong focus on AWS, distributed systems, multi-tenant SaaS architectures, data platforms, and GenAI adoption. You will work closely with engineering teams to turn architectural strategies into practical solutions through prototypes, automation, and self-service capabilities. As an AI adoption catalyst, you will help embed intelligent tools and workflows throughout the software development lifecycle while maintaining strong security and governance. This is a high-impact opportunity to influence technology direction across a global environment while mentoring teams and driving long-term architectural excellence.
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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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