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Full Stack Engineer - Python/React.js
Full Stack Engineer - Python/React.jsQrata Consulting • Bangalore
Full Stack Engineer - Python / React.js

Full Stack Engineer - Python / React.js

Qrata Consulting • Bangalore
15 days ago
Job description

Description :

We're looking for an exceptional Software Engineer (Full-Stack) to help architect and scale the systems that power GEO from high-throughput backend infrastructure to intuitive front-end analytics experiences. You'll design distributed services that process large-scale simulation reinforcement learning experiments, build APIs for large-scale data-centric workflows, and craft beautiful, data-rich interfaces that make complex model behaviors interpretable. This is a highly cross-functional role working alongside ML engineers, researchers, and product designers to transform cutting-edge research into production-grade systems.

Responsibilities :

Backend and Platform :

  • Optimise compute, storage, and inference workflows for large-scale simulation reinforcement learning experiments.
  • Architect and build distributed systems that power the company's GEO engine and data pipelines.
  • Develop APIs and services that connect retrieval, ranking, and evaluation layers.
  • Implement observability, monitoring, and CI / CD tooling for reliability and scalability.

Frontend and UX :

  • Build intuitive dashboards and tools that visualise GEO metrics, LLM behaviours, and visibility analytics.
  • Collaborate with design and ML teams to develop real-time visualisations for telemetry, ranking performance, and search simulation results.
  • Implement responsive, high-performance interfaces using React, TypeScript, and Next.js.
  • Maintain a consistent design system that communicates complex data clearly and beautifully.
  • Requirements :

  • 3+ years of experience in software engineering (backend, frontend, or full-stack).
  • Proficiency in Python, Go, or Node.js for backend development.
  • Strong experience with React, TypeScript, or Next.js on the frontend.
  • Familiarity with distributed systems and cloud platforms (AWS, GCP) and orchestration tools (Docker, Kubernetes).
  • Strong understanding of databases (PostgreSQL, Redis) and data pipelines (Kafka, Airflow, etc.).
  • Comfort working across the stack and collaborating closely with ML and product teams.
  • Preferred :

  • Experience with data visualisation libraries (e.g., D3.js, Plotly, or Recharts).
  • Familiarity with LLM or ML product interfaces, experiment dashboards, or model evaluation UIs.
  • Background in building SaaS or analytics products for data-intensive domains.
  • Passion for elegant design and communicating complex systems visually.
  • (ref : hirist.tech)

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