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Job Title - Principal Software Engineer (AI & Data Management) Job Location - Pune, Maharashtra MUST Have Skills - Golang, Docker implementation, SaaS or Hyperscale's deployment, Rag pipelines, agentic, Lang chain, Min 2 yrs as an Architect. Our client is seeking a visionary and highly technical Principal Software Engineer to join their elite engineering team. In this pivotal role, you will be the primary architect and driver in evolving the cutting-edge, AI-integrated global distributed file system and hybrid-cloud data management solutions. They are looking for a technical navigator to lead the evolution of their high-performance storage solutions, acting as the architectural force that ensures 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 this team and lead the next generation of multi-cloud filesystem innovation. 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: Design and development of agentic AI, Vector Database, across platforms to scale using industry standard orchestration layers. Programming Proficiency: Demonstrate production-grade expertise in GoLang and java programming languages to develop high-performance file system components. Inter-Process Communication: Design and implement eDective 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 eDective 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.