Role Overview :

The role involves leading the overall software architecture, engineering standards and technology direction of the company's AI products. The individual will be responsible for building scalable, secure and high-performance platforms.

Key Responsibilities :

- Design and lead scalable microservices and distributed systems architecture.

- Own database architecture, including PostgreSQL, Citus sharding, Redis and vector storage.

- Build and optimise real-time voice and communication platforms using WebSockets, gRPC and WebRTC.

- Establish AI-native engineering practices using tools such as Claude Code and Cursor, ensuring quality and architectural discipline.

- Implement security, compliance and reliability standards, including PCI-DSS and HIPAA requirements.

- Drive cloud infrastructure, deployment automation and scalability using Kubernetes and Terraform.

- Establish engineering standards, API contracts, code review processes and system observability.

- Lead technical audits, identify performance bottlenecks and drive platform improvements.

Key Skills & Experience Required :

- 12 - 20 years of hands-on software engineering experience.

- Minimum 5+ years of experience leading software architecture and enterprise platform development.

- Strong hands-on expertise in Python and FastAPI.

- Strong experience with PostgreSQL (Citus sharding), Redis and microservices architecture.

- Practical knowledge of Go or Rust for performance-critical modules.

- Experience designing distributed systems, event-driven architectures and high-concurrency applications.

- Hands-on experience with real-time voice/communication platforms and technologies such as WebSockets, gRPC and WebRTC.

- Experience with Kubernetes, Terraform and cloud/on-premise infrastructure.

- Exposure to regulated industries such as BFSI, Healthcare or CCaaS.

- Experience using AI-assisted development tools such as Claude Code and Cursor.