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₹25L - ₹28L / yr
Remote only
Skills
nodejs, golang
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.
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