Backend Developer

3 weeks ago

bangalore, India Grizmo Labs Full time

Responsibilities:

Backend Development:


- Design, implement, and maintain backend systems for voice recognition, natural language processing, and other core components of our Voice AI platform.

- Develop scalable and reliable APIs that support seamless integration with front-end applications and external services.

- Algorithm Implementation: Implement and optimize algorithms related to voice processing, speech recognition, and language understanding.

- Work closely with Speech and NLP engineers to integrate machine learning models into the backend infrastructure.

Database Management:


- Design and manage SQL, NoSQL, and vector databases to store and retrieve data efficiently.

- Ensure data security, integrity, and high availability of voice-related information.

- Performance Optimization: Identify and resolve performance bottlenecks in the backend systems to ensure real-time processing of voice inputs.

- Implement caching and other optimization techniques to improve overall system performance and reduce cloud Collaborate with cross-functional teams to understand product requirements and contribute to the overall architecture of the voice AI applications.

- Work closely with front-end developers to integrate backend functionality seamlessly and testers for quality analysis with backend automation.

Scalability and Reliability:


- Architect and implement scalable solutions that can handle a growing user base providing more than 4 nines of availability.

- Ensure the reliability and stability of backend services through effective monitoring, error handling, and Bachelor's or higher degree in Computer Science, Software Engineering, or a related field.

- Proven experience in backend development (typically 3+ years), preferably in a startup environment.

- Strong proficiency in programming languages such as Go, Python, Scala, or Java.

- Experience in developing low latency systems using web frameworks like fiber, vert.x, falcon, etc.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud.

- Familiarity with databases (SQL and NoSQL) and data modeling.

- Knowledge of RESTful API design and implementation.

- Familiarity with Kafka and Spark for large-scale queuing and data processing.

- Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

- Understanding machine learning concepts and integration with backend systems is a plus.

- Excellent problem-solving and communication skills.

(ref:hirist.tech)

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