Software Development Engineer II - Backend Development (3-7 yrs)

Position : SDE-2 (Backend)

Location : Bangalore (Onsite)

Experience : 3+ Years

Key Problem Areas

- Scalable Real-Time Processing : Building backend systems capable of processing high volumes of real-time interaction data with low latency.

- ASR/NLP Integration : Designing robust pipelines to integrate with advanced ASR/NLP/LLM modules for real-time transcription and insights.

- Agent & Supervisor Assistance : Creating backend components that deliver actionable insights and recommendations for agents and enable supervisors to intervene effectively when needed.

- Latency and Performance Optimization : Ensuring backend systems meet stringent performance requirements to support seamless real-time operations.

- Security and Reliability : Implementing industry best practices for data security, encryption, and fault-tolerant architectures.

Key Responsibilities :

- Define and maintain the technical stack, ensuring scalability, maintainability, and performance.

- Collaborate with the product team to align technical efforts with the product roadmap.

- Design, develop, and maintain backend services to support real-time data processing and analytics.

- Work closely with frontend developers to integrate server-side logic with user-facing features.

- Optimize applications for latency, scalability, and fault tolerance to support real-time workflows.

- Implement robust data protection measures and design secure systems to ensure data privacy.

- Mentor junior engineers and contribute to fostering a collaborative and high-performing team culture.

Required :

- Bachelor's Degree in Computer Science or a related field with 3+ years of experience

building large-scale backend systems.

- Proficiency in Java or Node.js, with expertise in optimizing backend services for scalability and performance.

- Strong understanding of design patterns and their practical application.

- Experience with databases (SQL or NoSQL) such as PostgreSQL, MongoDB, Cassandra, or Redis.

- Exposure to message queues (RabbitMQ, Kafka) and caching systems (Ehcache, Memcached).

- Familiarity or motivation to work with machine learning components as part of backend workflows.

- Knowledge of container management tools (Docker, Kubernetes) is a plus.

- A passion for learning, solving challenging problems, and growing in a dynamic, fast-paced environment.

- Demonstrated ability to adapt and thrive in startup cultures.