Lead/ Staff Backend Engineer ? Communications AI Infrastructure

Job Description

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 ??You?ll build things that scale globally ?? You?ll work on real problems; scale, efficiency, optimization. ?? You?ll be part of a global team collaborating with top engineers ?? Accelerated career growth due to high visible projects. ?? Hybrid work from our Bengaluru office + flexible hours. ?? Full medical insurance for you and your family. ?? Competitive compensation + performance bonuses If you are passionate about building production-ready scalable systems that redefine human connection, this is your moment. Apply now.