Principal Architect

17 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Principal Architect

This role offers the opportunity to shape the technical vision of cutting-edge platforms, integrating emerging technologies with proven enterprise solutions.


Key Responsibilities

  • Define and drive the architecture of complex, scalable, and secure systems across backend, frontend, cloud, and emerging tech domains.
  • Lead solution design and implementation across

    Java/Spring Boot

    backends and modern UI frontends (Angular or React).
  • Architect and implement cloud-native solutions using

    AWS

    , ensuring performance, scalability, and reliability.
  • Oversee end-to-end

    DevOps

    strategy including CI/CD, containerization, infrastructure as code (IaC), and observability.
  • Lead the integration of

    AI/ML models

    into product pipelines using frameworks like TensorFlow, PyTorch, or cloud-native ML tools (e.g., AWS SageMaker).
  • Design and implement

    Blockchain-based solutions

    for secure, decentralized applications using platforms like Ethereum, Hyperledger, or similar.
  • Collaborate with product managers, data scientists, and engineering leads to align technology strategy with business goals.
  • Evaluate and introduce new tools, frameworks, and platforms that improve performance or developer productivity.
  • Mentor and guide senior engineers, promoting architectural excellence and technical best practices.
  • Ensure security, compliance, and data privacy are built into the system architecture from day one.


Required Skills & Qualifications

  • 13–17 years

    of progressive experience in software development and system architecture.
  • Proven expertise in:
  • Java, Spring Boot

  • Frontend frameworks:

    Angular or React
  • AWS (cloud-native application design and deployment)

  • DevOps practices and tooling:

    Docker, Kubernetes, Jenkins, GitOps, Terraform/CloudFormation, etc.
  • Hands-on experience in building and deploying AI/ML solutions

    , including data pipelines, model training, and inference integration into applications.
  • Production-level experience with Blockchain technologies

    , smart contract development, and decentralized application (dApp) design.
  • Solid understanding of distributed systems, microservices architecture, and API design (REST & GraphQL).
  • Strong knowledge of application security, performance tuning, and system reliability engineering (SRE) practices.
  • Excellent communication, problem-solving, and leadership skills.

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