Lead Backend Engineer - Node.js/Golang

Job Description :

We are looking for a Lead Backend Engineer to define and drive the backend architecture of our products. This role involves designing scalable and reliable systems, mentoring a team of backend engineers, and collaborating with cross-functional teams to deliver high-quality software. You will also contribute to integrating AI/ML capabilities into backend services and ensuring operational excellence through automation, observability, and strong engineering practices.

Core Responsibilities :

Architect and Design :

- Define and maintain service architecture in Go and Node.js, focusing on scalability, resilience, and low latency.

- Create and maintain Entity-Relationship Diagrams (ERDs) and ensure data models are up to date.

Team Leadership and Mentorship :

- Manage and mentor a team of 5- 10 backend engineers, promoting collaboration and accountability.

- Conduct regular code reviews, design discussions, and provide performance feedback.

AI/ML Integration :

- Collaborate with Data Science and ML engineers to integrate AI/ML models (e.g., GPT-4) for features such as transcription, summarization, and recommendations.

- Work with NoSQL systems like DataStax Cassandra to support analytics and AI inference

pipelines.

Delivery and Quality :

- Implement best practices for CI/CD, automated testing, performance benchmarking, and observability (metrics, logs, tracing).

- Own SLA/SLOs, manage incident response, and lead root-cause analysis and post-mortems.

Cross-Functional Collaboration :

- Partner with Product, UX, and DevOps teams to translate business requirements into technical roadmaps.

- Communicate backend and data architecture decisions across the engineering organization.

Requirements :

- Experience : 6+ years of backend development with Go and Node.js, building and maintaining

microservices in production.

- System Design : Strong understanding of RESTful APIs, gRPC, event-driven architectures, and message queues (Kafka, RabbitMQ).

- Data Modeling : Experience with ERDs, relational schema design (PostgreSQL), and NoSQL databases (Cassandra or similar).

- Team Leadership : 2+ years of experience managing engineering teams, with a focus on mentoring and growing talent.

- AI/ML Integration : Hands-on experience integrating AI/ML models or APIs into backend systems.

- Operational Excellence : Proficiency in CI/CD (Jenkins, GitHub Actions), containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP).

Nice-to-Have :

- Experience with GraphQL or real-time streaming (WebSockets).

- Familiarity with ML model fine-tuning and hosting (AWS SageMaker, Azure ML).

- Knowledge of user analytics and personalization algorithms.

- Open-source contributions in Go or Node.js.