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Panzura Linkedin · Posted 18d ago

Principal Software Engineer

India

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Indexed description

Panzura is seeking a visionary and highly technical Principal Software Engineer to join our elite engineering team. In this pivotal role, you will be the primary architect and driver in evolving our cutting-edge, AI-integrated global distributed file system and hybrid-cloud data management solutions. We are looking for a technical navigator to lead the evolution of our high-performance storage solutions, acting as the architectural force that ensures our systems scale effortlessly in a hybrid-cloud world.


If you are a visionary leader with deep expertise in building advanced AI Systems (RAG, Agentic Chatbots, Vector Databases) to scale and a drive to build world-class solutions, join Panzura's Pune team and lead the next generation of multi-cloud filesystem innovation.


This permanent, full-time role is available for hire through our employer of record, Deel.


Job Requirements

Required Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • Experience: 10+ years of proven experience as a Back End Developer or in a similar role with a focus on server-side components.

Technical Expertise

  • Languages: Expertise in Golang, Java.
  • Core Systems: Proficiency in inter-process communication, threading models, synchronization concepts, and complex multithreaded software design.
  • Optimization: Strong problem-solving skills and the ability to analyze and optimize file system performance.
  • Performance: Expertise in performance profiling and modeling for concurrent, large-scale systems.

AI & Cloud Specializations

  • AI Solutions: Experience in AI, RAG, and Agentic Chat Bot implementations to scale that strictly adhere to enterprise ACLs and data governance.
  • Vector Architecture: Hands-on experience working with Vector Databases such as Milvus, Qdrant, Zilla, or related embedding stores.
  • AI Frameworks: Proven experience building complex workflows with AI orchestration layers like LangChain, LangGraph, Semantic Kernel, or Pinecone.
  • Cloud Infrastructure: Experience in the multi-cloud data management domain is a plus.

Leadership & Soft Skills

  • Collaboration: Excellent communication and collaboration skills.
  • Leadership: Excellent mentorship skills for setting up a high-performing technical team.


Job Responsibilities

  • Design, Develop, and Maintain Panzura Global File System: Lead the design and development of advanced file systems, ensuring robustness, efficiency, and scalability. Leverage working knowledge of ZFS; NAS protocols, including NFS and CIFS, to optimize file-level data access.
  • Programming Proficiency: Demonstrate production-grade expertise in GoLang and C/C++ programming languages to develop high-performance file system components.
  • Inter-Process Communication: Design and implement effective inter-process communication mechanisms to facilitate seamless interaction between various system components.
  • Threading Models and Synchronization: Utilize proficiency in threading models, synchronization concepts, and complex multithreaded software design to ensure optimal system performance and resource utilization.
  • Collaboration: Work collaboratively with cross-functional teams, including software engineers, architects, and quality assurance, to integrate file system components into our multi-cloud data management solutions.
  • Problem Solving: Investigate and troubleshoot complex issues related to file system architecture, providing innovative and effective solutions.
  • Performance and Scale: Designing systems that scale horizontally and remain performant under extreme load.
  • AI/ML & RAG: Architecting production-grade Retrieval-Augmented Generation (RAG) pipelines and scalable chatbot frameworks.
  • Enterprise Ecosystems: Expert integration within Microsoft (Copilot, Azure AI) and Foundry platforms to bridge global data with generative AI.
  • Stay Current: Stay abreast of industry trends, emerging technologies, and advancements in AI/ML to drive continuous improvement and innovation.
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