Job Description

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises- global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. What Does Success Look Like? We are hiring a Lead Backend Engineer to drive the design and development of backend services and APIs that power our CPaaS platform . You’ll work on high-throughput, event- driven systems supporting voice routing, provisioning, billing, analytics, and more. This role demands a strong foundation in distributed systems, API design, and real-time architecture. Seniority Level: Seniority Level: Backend Lead / Tech Owner What You’ll Do: Design and implement scalable RESTful APIs and backend services for CPaaS workflows ( number provisioning, SIP trunking, user auth, call logs , etc.). Work closely with VoIP team to expose APIs for call control, diagnostics, and session tracking. Build asynchronous workflows using message queues (Kafka, RabbitMQ, or SQS). Own database models, caching strategies, retry logic, and service reliability patterns. Ensure system observability with structured logging, metrics, tracing, alerts. Partner with QA to build automated tests, mocks, and integration coverage. Contribute to internal documentation, runbooks, and deployment playbooks. What Makes You Qualified? 5+ years of hands-on experience in backend development in distributed systems. Strong systems programming and debugging skills in Java. Solid expertise in REST APIs and micro service architecture. Hands-on experience with MongoDB, PostgreSQL , Redis, and API rate limiting strategies. Understanding of distributed systems patterns — retries, idempotency, circuit breakers. Familiarity with CI/CD, GitOps, containerization, and cloud deployment (AWS preferred). Show more Show less