Founding Backend Engineer

Min Experience

2 years

Location

Bengaluru

JobType

full-time

About the role

About Us
We’re Stimuler, an early-stage AI startup focused on transforming language learning. Our AI tutor provides real-time interaction, adapting to users’ speech inputs to build fluency faster. We’re looking for a Founding Backend Engineer to architect and scale our core infrastructure.

Role & Impact
In this role, you will design, develop, and maintain the backend systems that power our AI tutor. You’ll work at the intersection of AI infrastructure, distributed systems, and real-time data processing—shaping the technology and the team as we grow.

Key Responsibilities

  • Infrastructure & Architecture: Design and scale distributed systems for real-time speech processing. Own data pipelines from ingestion to model serving. Ensure security, privacy, and compliance for user speech data.
  • Performance & Reliability: Implement robust monitoring, logging, and alerting for 24x7 availability. Optimize system performance and scalability.
  • Team Leadership & Collaboration: Mentor junior engineers and work closely with AI/ML teams. Contribute to hiring efforts as we expand.

Must-Have Requirements

  • Experience: 7+ years in backend or platform engineering (focus on distributed systems).
  • Cloud & Containers: Proficiency with Docker, Kubernetes, and AWS (or similar cloud platforms).
  • Real-Time Streaming: Familiarity with audio/video streaming in high-availability, auto-scaling environments.,
  • Databases: Strong SQL skills (PostgreSQL preferred), including query optimization, schema design; caching layers (Redis, Memcached) and optimise.

Good-to-Have Skills

  • AI/ML Pipeline: Exposure to GPU resource management and distributed tools (e.g., Rayserve).
  • Domain Experience: B2C mobile backend knowledge.
  • Cloud Expertise: AWS, Azure, GCP, or multi-cloud strategies.
  • Security & Compliance: Understanding of GDPR, CCPA, and data governance best practices.seeking

Skills

Python
Docker and Kubernetes
Kafka
Redis
AWS
PostgreSQL
Data pipeline
Data Warehouse