Platform Architect

Platform Architect

Bengaluru, India | Full-Time | Engineering

Reimagine How The World Communicates with AI

We're reimagining how people communicate using AI; from smart assistants that schedule meetings and transcribe conversations to systems that understand voice, video and text in real time. Such applications need a foundational distributed infrastructure that powers millions of concurrent calls and processing volumes of data. We’re looking for a backend engineer who can design and scale these core systems.

Join our Bengaluru engineering team to build the backbone of AI driven communication.

What You’ll Do

• Build ultra-reliable, low-latency backends for real-time calls, messaging, and media workflows at scale.
• Design high-throughput event pipelines that power real-time signaling, analytics and AI feature processing with minimal lag.
• Design distributed coordination and routing systems that maintain consistency and performance across regions.
• Develop scalable platform primitives like RESTful APIs, identity, sessioning, rate limits and storage that serve as foundations for AI-powered applications.
• Create end-to-end observability that keep a multi-region UCaaS platform predictable under heavy load

What You Bring

• 10–14 years of hands-on backend engineering building and operating large-scale distributed systems , with a deep understanding of consistency, partitioning, replication and high availability fundamentals.
• Strong system design expertise , with the ability to architect fault-tolerant, horizontally scalable services.
• Expert proficiency in at least one modern backend language (e.g., Java, Kotlin, Python, Go), with the ability to write high-performance code and lead technical reviews across complex systems.
• Experience designing and scaling high-throughput or low-latency services , including API design, concurrency models, resource management and performance tuning across distributed workloads.
• Proven ability to build event-driven or asynchronous architectures using distributed messaging or streaming systems
• (e.g., Kafka, Kinesis, Pulsar, RabbitMQ).
• Hands-on performance and observability skills , including profiling, eliminating bottlenecks, optimizing tail latency and implementing robust metrics, tracing, and logging for distributed systems

Nice to Have

• Understanding of networking fundamentals and cross-region or multi-DC architectures , including latency tradeoffs and data movement considerations

Why You'll Love Working With Us