Architectural Leadership

- Own architectural decisions for web applications, APIs, and microservices, in consultation with engineering leadership, ensuring scalability, reliability, and maintainability.

- Drive end-to-end technical quality, including code standards, design reviews, and non-functional requirements (NFRs) from architecture through deployment.

- Lead architecture definition for SaaS products, encompassing multi-tenancy, extensibility, and platform scalability, ensuring alignment with the long-term product roadmap.

- Identify and mitigate technical risks proactively to protect sprint and delivery commitments.

- Lead the design and scaling of SaaS applications, promoting best practices in API design, service decomposition, data modelling, and platform architecture.

- Build and scale large-scale, data-driven products typical of analytics and competitive intelligence domains, focusing on performance, reliability, and domain-specific use case delivery.





- Ensure production readiness through capacity planning, performance tuning, observability, and incident response readiness for all delivered solutions.

AI-Native Development (Mandatory)

- Embed and drive the adoption of AI-native practices across the full engineering lifecycle, from technical design and solution architecture to code generation, review, quality assurance, and deployment.

- Champion the use of AI-assisted development tools (e.g., Claude, Cursor, GitHub Copilot) as standard practice within the team, not as optional augmentation.

- Experience in designing and building functional agents and developer productivity agents to automate repetitive engineering tasks, including health checks, auto-healing workflows, and support use cases for platform components.

📌 Technical Architect (India)
🏢 One75mbhrm
📍 India