Staff Software Engineer Platform & Distributed Systems

8 - 9 years

16 - 20 Lacs

Posted:4 days ago| Platform: Naukri logo

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Full Time

Job Description


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 Azure

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