Lead node engineer

We're seeking a seasoned Backend Engineering Lead

Key Responsibilities

• Design and build scalable, low-latency microservices using Node.js (TypeScript)

   and 

  Golang

  .

• Develop and maintain GraphQL APIs

   and backend integrations.

• Lead implementation of data flows and service logic in a distributed microservices environment.

• Take ownership of cloud infrastructure setup, deployment workflows, and monitoring.

• Ensure system reliability, performance, and uptime by proactively addressing architectural and operational concerns.

• Drive the integration of AI/ML capabilities such as transcription, summarization, and recommendations into the product.

• Own the full pipeline for AI features from embedding generation to querying vector databases alongside backend responsibilities.

• Design and manage efficient data models across relational, key-value, and unstructured data stores.

• Ensure data scalability, consistency, and integrity across all systems.

• Work closely with fellow backend engineers to ship high-impact features rapidly and reliably.

• Contribute to technical direction, code reviews, best practices, and team-level decision-making.

• Play an active role in hiring, onboarding, and mentoring engineers as the team grows

Requirements

• 5+ years

   of hands-on experience building and maintaining backend systems in production.

• Strong proficiency in at least two backend languages

  , including 

  Node.js (TypeScript)

   and 

  Golang

   (both are must-haves).

• Strong experience building and maintaining GraphQL

   and/or REST APIs.

• Proven experience running production environments on AWS, GCP, or Azure

  .

• Experience with deploying and managing containerized services (e.g., using ECS, Kubernetes, or similar).

• Familiarity with CI/CD pipelines, automated testing, monitoring, and observability tools.

• Solid understanding of SQL

   and 

  NoSQL

   databases (e.g., PostgreSQL, DynamoDB).

• Experience working with Redis

   and other in-memory data stores.

• Hands-on experience with message queues

   and 

  pub/sub systems

   (e.g., RabbitMQ, Kafka).

• Exposure to vector databases

  , embeddings, and running 

  AI/ML models in production

  .

• Experience working closely with mobile frontend teams

  , ensuring efficient APIs, performance optimization, and debugging.

Nice-to-Have

• Familiarity with Graph databases

   (e.g., Neptune, Neo4j).

• Experience building consumer-facing products

   at scale.

• Prior work with microservices architectures

   and distributed systems.

• Contributions to open-source projects or active technical blogging.

• Familiarity with large-language model fine-tuning and hosting on infrastructure like AWS SageMaker or Azure ML.

• Background in user-centric analytics and personalization algorithms.

What We Offer

• Competitive salary with performance bonuses and equity options.

• Flexible work hours and hybrid work policy.

• Generous learning & development budget for conferences, courses, and certifications.

• A culture that values creativity, ownership, and rapid experimentation.

• Opportunity to shape the future of audio social in Indias biggest emerging markets.