Backend Engineering Lead,Arre Voice

Position: Backend Engineering Lead (Go & )

Location: Hybrid

Reporting to: CTO, Arré Voice

About Arré Voice

Arré Voice is India's leading audio-first social platform, empowering creators and listeners to connect through Voicepods, Voicepools, and community-driven audio experiences. Backed by a network of 10K+ creators and a monthly reach of 15-20 million, we are on a mission to democratise audio storytelling across India's tier-2 and tier-3 markets.

Role Overview

We're seeking a seasoned Backend Engineering Lead to architect and scale our core services. You'll own the design, development, and operational excellence of microservices built in Go and , champion data modelling best practices, and guide a team of high-performing engineers toward shipping robust, AI-enhanced features at scale.

Key Responsibilities

• Design and build scalable, low-latency microservices using (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 (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 India's biggest emerging markets.