Senior Software Architect

6 days ago

Bharatpur, Rajasthan, India beBeeFullStack Full time US$ 1,80,000 - US$ 2,50,000
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As a seasoned Full Stack Developer, you will be responsible for designing and building scalable web applications using React/TypeScript. Your expertise in graph/network visualizations will enable you to deliver interactive data visualization solutions capable of rendering millions of nodes and edges smoothly.

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You will optimize frontend performance for real-time exploration of large, multi-dimensional datasets. Additionally, your skills in explainable AI and complex entity relationship analytics will help design interfaces that provide transparency and insights into complex systems.

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With the ability to implement advanced rendering techniques (WebGL, canvas virtualization) for massive dataset visualization, you will ensure that our platform delivers unparalleled intelligence while upholding the highest standards of integrity and societal impact.

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In this role, you will architect and implement fast, scalable GraphQL/REST APIs with sub-second response times for analytics, entity resolution, and graph queries. You will also develop and orchestrate microservices using Node.js, Python, Scala.

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Furthermore, you will build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput. Integration with backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database is also expected.

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Additionally, you will work with our custom graph query language and SDKs to expose graph analytics capabilities. Cloud infrastructure and data platform experience is necessary, including deploying, scaling, and monitoring services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub).

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Deploying cloud functions and serverless analytics workflows are also required. Designing and optimizing large-scale data processing pipelines handling TB-scale data with Apache Hadoop and Spark is an essential skill. Collaboration with data engineers on ETL processes, data architecture, and real-time data integration strategies is necessary.

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Lastly, ensuring platform reliability with 99.9% uptime SLAs is crucial.

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Key Responsibilities:

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Design and build scalable web applications using React/TypeScript.">

Implement graph/network visualizations capable of rendering millions of nodes and edges smoothly.">

Optimize frontend performance for real-time exploration of large, multi-dimensional datasets.">

Design interfaces for explainable AI and complex entity relationship analytics.">

Implement advanced rendering techniques (WebGL, canvas virtualization) for massive dataset visualization.">

Architect and implement fast, scalable GraphQL/REST APIs with sub-second response times.">

Develop and orchestrate microservices using Node.js, Python, Scala.">

Build and maintain data transformation and aggregation pipelines.">

Integrate with backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database.">

Work with custom graph query language and SDKs to expose graph analytics capabilities.">

Deploy, scale, and monitor services on GCP.">

Deploy cloud functions and serverless analytics workflows.">

Design and optimize large-scale data processing pipelines handling TB-scale data.">

Collaborate with data engineers on ETL processes, data architecture, and real-time data integration strategies.">

Ensure platform reliability with 99.9% uptime SLAs.">">

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