Backend Engineer Lead (Remote)

Key Responsibilities 1. Architect & Design ○ Define and maintain service architecture in Go and Node.js, ensuring scalability, resilience, and low latency. Lead the creation and upkeep of comprehensive Entity-Relationship Diagrams (ERDs) and maintain an up-to-date data model library. 2. Team Leadership & Mentorship Manage, mentor, and inspire a diverse team of 5–10 backend engineers (“maverick” talent), fostering collaboration, autonomy, and ownership. Conduct regular code reviews, design discussions, and performance feedback sessions. 3. AI/ML Integration Collaborate with Data Science and ML engineers to integrate OpenAI models (e.g., GPT-4) for features like smart audio transcription, summarization, and recommendation. Work with DataStax (Cassandra) or similar NoSQL systems to power low-latency user analytics and AI inference pipelines. 4. Delivery & Quality Establish and enforce best practices for CI/CD, automated testing, performance benchmarking, and observability (metrics, logs, tracing). Own SLA/SLOs and incident response processes, driving rapid root-cause analysis and post-mortems. 5. Cross-Functional Collaboration Partner with Product, UX, and DevOps to translate business goals into technical roadmaps and deliver on tight timelines. Evangelize backend and data architecture decisions across the engineering organization. Must-Have Qualifications ● Technical Expertise: 6+ years backend experience with Go and Node.js, building microservices in production. Deep understanding of RESTful APIs, gRPC, message queues (Kafka/RabbitMQ), and event-driven architectures. Data Modeling: Proven ability to author and maintain ERD documents, relational and NoSQL schema design (PostgreSQL, DataStax Cassandra). ● Team Leadership: 2+ years managing high-performance engineering teams, with a track record of growing and mentoring “maverick” engineers. ● AI/ML Integration: Hands-on experience integrating AI/ML models, preferably OpenAI APIs or custom ML pipelines, into backend systems ● Operational Excellence: Strong background in designing CI/CD pipelines (Jenkins/GitHub Actions), containerization (Docker/Kubernetes), and cloud services (AWS/GCP). Nice-to-Have ● Experience with GraphQL or real-time streaming architectures (WebSockets). ● 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. ● Open source contributions in Go or Node.js ecosystems. 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.