Job title : Staff Software Engineer Platform & Distributed Systems

Location : Hyderabad (Hybrid) (Hybrid After 3 Months - 3 Days WFO/2 Days WFH)

Experience : 8+ Years

Notice Period : Immediate to 15 Days

Role Summary :

Enhance an existing AI platform by instrumenting it to capture signals, events, and feedback, enabling continuous learning all while the system remains live and serving customers.

Roles & Responsibilities :

- Design and implement event-driven architecture across APIs and services

- Define scalable event schemas that capture full context and intent

- Build reliable Kafka-based pipelines with replay and failure handling

- Instrument React/Next.js frontend to capture user interactions and feedback

- Ensure end-to-end event flow : UI - Backend - Event Bus - Storage

- Refactor systems using : Strangler pattern, Feature flags, Zero-downtime deployments

- Implement observability (logs, metrics, and traces) from day one

- Migrate historical data into new event schemas

- Provide technical leadership, design reviews, and documentation

Required Skills :

- 8+ years of software engineering experience (Staff-level)

- Strong distributed systems knowledge (CAP theorem, consistency models)

- Proven experience with event-driven systems (Kafka, RabbitMQ, etc.)

- Full-stack expertise : Backend : Python, Frontend : React / Next.js

- Experience transforming live production systems

- Hands-on experience with incremental rollouts and feature flags

Strong Plus (Nice to Have) :

- Observability tools (Open Telemetry, Datadog, Prometheus)

- AI/ML or LLM platform experience

- Event sourcing or CQRS

- High-scale analytics instrumentation

- Monolith-to-microservices migration experience

Tech Stack : Python, MongoDB, PostgreSQL, Redis, Kafka, React, Next.js, Docker, Kubernetes, Next.js, React, PostgreSQL, MongoDB, Redis, Kafka, Python