Senior Backend Developer

This is an in-person office role in Hyderabad.

About Role

hundreds of thousands of concurrent users

horizontally scalable

Key Responsibilities

• Build scalable services in Python (FastAPI preferred) with a focus on

  stateless APIs

  ,

  idempotent operations

  , and

  graceful failure modes

  .
• Design systems with

  horizontal scaling

  ,

  partition tolerance

  , and

  data consistency trade-offs

  in mind.
• Build

  asynchronous processing pipelines

  for video ingestion, media preprocessing (e.g., encoding, chunking), and LLM inference triggering.
• Architect and operate

  messaging infrastructure

  (Kafka, RabbitMQ, Redis Streams, AWS SQS, Celery) for decoupled and resilient task execution.
• Optimize backend infrastructure using

  Kubernetes

  (HPA/VPA, Cluster Autoscaler),

  sharded databases

  , and

  replica-aware routing

  .
• Design, build, and maintain

  database schemas

  for high-throughput data tracking (uploads, job states, LLM output), optimizing for large-scale workloads.
• Contribute to architectural decisions involving

  service mesh

  ,

  API gateways

  , and

  observability pipelines

  .
• Work with engineers across the stack including Node.js/React services  to ensure seamless integration and data flow across the system.
• Maintain high-quality

  CI/CD pipelines

  and deployment workflows, with support for canary/blue-green strategies and rollback safety.
  

Must-Have Skills

• Expert-level Python backend development

  for high-throughput, low-latency systems (FastAPI, asyncio, uvicorn/gunicorn stack).
• Strong experience with

  message queues and async task execution

  using Kafka, RabbitMQ, Redis Streams, SQS, or Celery.
• Deep familiarity with

  Kubernetes

  orchestration: autoscaling, rollout strategies, pod/network tuning, and node pool management.
• Strong command over

  relational (PostgreSQL)

  and

  NoSQL (MongoDB, Redis)

  databases: modeling, indexing, tuning, partitioning.
• Knowledge of

  distributed caching

  ,

  rate limiting

  ,

  circuit breakers

  , and backpressure strategies.
• Familiarity with

  chunked/resumable uploads

  , file session tracking, and large-object handling.
• Exposure to

  CQRS

  ,

  event sourcing

  ,

  message-driven design

  , and

  domain-driven architecture

  .
• Experience with

  observability stacks

  : Prometheus, Loki, Grafana, Tempo, and OpenTelemetry for distributed tracing, logging, and metrics.