Principal / Distinguished Engineer - Distributed Systems, Graph Databases, and Planet-Scale AI Infrastructure - Hyderabad - Anonymous

    Anonymous
    Anonymous Hyderabad

    3 days ago

    Description

    About the Role

    Mobius is creating the foundational infrastructure for the next generation of AI economies- systems where intelligence, data, and capital interoperate through verifiable, lawful computation.

    We're seeking a hands-on Distinguished Engineer to architect, build, and scale the distributed computing backbone that supports real-time, AI-driven decisioning and neuro-symbolic

    reasoning at planetary scale.

    You will lead architecture for microservices, graph databases, and distributed computation-

    building the substrate upon which AI ecosystems, autonomous agents, and digital marketplaces

    operate.

    Responsibilities

    Architectural Leadership


    • Design and evolve a planet-scale microservices fabric supporting low-latency, high-consistency workloads across multi-cloud and sovereign infrastructures.


    • Define the knowledge and event graph architecture integrating structured, semi-structured, and streaming data for real-time AI reasoning.


    • Develop architectural patterns that enable autonomous AI systems to collaborate and self-orchestrate safely.


    • Implement global replication, partitioning, and failover strategies balancing CAP, PACELC, and ethical-compliance constraints.

    Data Infrastructure & Intelligence Integration


    • Engineer scalable, low-latency graph and vector databases optimized for AI reasoning

    and contextual retrieval.


    • Build real-time pipelines that fuse symbolic and statistical models—neuro-symbolic AI- into continuously learning, explainable systems.


    • Architect hybrid transactional–analytical (HTAP) layers for streaming inference and knowledge updating.


    • Embed observability, lineage, and auditability into every data flow to support transparent and trustworthy AI operation.Scalability, Performance, and Reliability


    • Create self-healing, auto-scaling distributed systems capable of 24×7 uptime across continents.


    • Use consensus protocols (RAFT, CRDTs, Paxos, vector clocks) and streaming frameworks (Kafka, Pulsar, Flink) to maintain data integrity at exabyte scale.


    • Lead performance tuning, resource optimization, and telemetry-driven capacity planning for compute- and data-intensive AI workloads.

    Engineering Leadership


    • Mentor senior engineers across infrastructure, data systems, and AI integration.


    • Establish gold standards for DevSecOps automation, infrastructure-as-code, and continuous deployment across hundreds of interdependent services.


    • Collaborate with AI research teams to translate algorithmic prototypes into robust, distributed production environments.

    Candidate Pedigree


    • 12–18 years of experience designing and scaling distributed systems in top-tier technology organizations (cloud hyperscalers, leading AI labs, or equivalent).


    • Recognized as a Principal, Distinguished, or Chief Engineer with architectural ownership of global-scale systems or data platforms.


    • Advanced degree (Master's or PhD) in Computer Science, Electrical Engineering, or Applied Mathematics from a leading institution.


    • Deep proficiency in multiple languages (Go, Rust, C++, Scala/Java, Python) and familiarity with modern distributed frameworks.


    • Demonstrated contributions to open-source, patents, or published research in distributed databases, graph reasoning, or AI infrastructure.


    • Exceptional ability to bridge systems engineering, data science, and product strategy in service of next-generation AI economies.

    Key Traits


    • Operate comfortably at the intersection of AI research, distributed systems, and product design.


    • Demonstrated history of end-to-end ownership—from whiteboard architecture to deployed, scaled, and monitored systems.


    • Strong communication skills, ability to influence senior leadership, and passion for mentoring other architects.


    • Commitment to building technology that advances both capability and integrity in the emerging AI-driven economy.

    This position represents the technical apex of the Mobius engineering organization, one architecting the distributed AI infrastructure that runs global systems, and the other creating the human and machine interfaces through which those systems come alive.

    Why Join

    This is an opportunity to architect the computational backbone of lawful intelligence—software that will underpin global-scale AI collaboration, digital governance, and the economy of the 21st

    century.

    You will work at the confluence of distributed systems, advanced databases, and AI research, shaping how humanity and intelligent systems share information and value.

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