Our client is a rapidly growing Healthcare AI company transforming oncology care through intelligent automation. Their AI-powered platform helps healthcare providers unlock insights from complex medical records, automate critical workflows, and improve clinical efficiency at scale. Trusted by leading healthcare institutions, the organization processes millions of oncology documents every month and is at the forefront of innovation in healthcare technology.

Define and drive the long-term architecture strategy, ensuring the platform scales effectively across customers, data volumes, AI workloads, and evolving business needs.

Lead architectural decisions for platform services, data pipelines, AI/ML infrastructure, and deployment frameworks, ensuring reliability, performance, and maintainability at scale.

Identify and address scalability bottlenecks, technical debt, and system vulnerabilities while establishing best practices for observability, resilience, security, and compliance.

Design and standardize multi-tenant, cloud-native, and customer-hosted deployment architectures, enabling secure and repeatable implementations across diverse environments.

Establish engineering standards and governance by leading architecture reviews, defining design principles, and ensuring consistency across systems, services, and data flows.

Partner closely with Engineering, Product, AI/ML teams, and customer stakeholders to translate complex business requirements into scalable technical solutions while guiding critical technology decisions.

10+ years of experience building and scaling production-grade software platforms, including 3+ years in senior technical leadership roles such as Principal Architect, Staff Engineer, or equivalent.

Deep expertise in distributed systems, microservices architecture, event-driven platforms, multi-tenant SaaS environments, and cloud-native technologies (AWS/Azure, Kubernetes).

Proven track record of making and driving high-impact architectural decisions that balance scalability, performance, maintainability, and business objectives.

Strong experience designing and optimizing large-scale data processing, document management, and data pipeline architectures handling both structured and unstructured data.

Solid understanding of reliability engineering, including observability, fault tolerance, system resilience, SLOs, monitoring, and production readiness best practices.

Excellent stakeholder management and communication skills, with the ability to lead technical discussions, influence cross-functional teams, drive architecture governance, and operate effectively in regulated and security-conscious environments.

• Lunch provided at the office — one less daily decision.
• Flexible working hours — we care about output, not clock-ins.
• Comprehensive health insurance for you and your family.
• Zomato meal benefits for early starts and late nights.