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Chief Distributed Systems Architect

Chief Distributed Systems Architect

beBeeTechnicalHyderabad, India
1 day ago
Job description

Job Description

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We are seeking a seasoned engineering leader to drive innovation in distributed systems, large-scale data pipelines, and machine learning solutions.

The ideal candidate will provide technical vision, lead the software development lifecycle, architect high-performance scalable microservices, and mentor engineering talent.

In this role, you will champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systems that power our cutting-edge products and services.

Responsibilities : ">

  • Provide technical leadership and vision for distributed systems, large-scale data pipelines, and machine learning solutions
  • Lead the full software development lifecycle, including design, architecture, testing, deployment, and operations
  • Architect and deliver high-performance, scalable microservices and real-time inferencing systems using modern machine learning infrastructure
  • Mentor and grow engineering talent, establish technical direction, and foster a culture of excellence and collaboration
  • Champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systems

Basic Qualifications :

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  • Degree in Computer Science, Mathematics, or a related discipline
  • 8+ years of experience across the full software development lifecycle, including design, coding, reviews, testing, deployment, and operations
  • 4+ years of experience managing engineering teams with a proven track record of delivery
  • 4+ years of experience building distributed big data solutions such as Spark, Kafka, Debezium, Hudi, Flink, or Glue
  • 4+ years of experience designing and architecting large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
  • Proven ability to optimize big data workflows and improve system performance at scale
  • Proficiency with Docker, Kubernetes, and modern CI / CD practices
  • Experience serving as a mentor, tech lead, or people manager in engineering organizations
  • Preferred Qualifications :

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  • MS or PhD in Computer Science or a related field
  • Experience with graph machine learning and graph technologies such as Graph Neural Networks (GNNs)
  • Experience building generative AI solutions such as Reagent, AI Agents, or LLM fine-tuning
  • About Us :

    We value innovation and expect our employees to advance with us in shaping the future of network intelligence. Join us in driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real-time.

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