Lead Technical Architect

15 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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About the Role

Senior Technical Architect

bridging business goals with architectural strategy


Key Responsibilities

  • Architectural Leadership:

  • Define and govern system architecture for large-scale SaaS and AI-based platforms using microservices, APIs, and event-driven paradigms.
  • Technology Strategy:

  • Evaluate emerging technologies (AI/ML, data orchestration, cloud-native design, LLM integrations) and align them with business objectives.
  • Design & Blueprinting:

  • Develop detailed architecture documents, data flow diagrams, and integration strategies for applications across ERP, WMS, TMS, and OMS environments.
  • Scalability & Performance:

  • Architect high-availability systems on AWS/Azure/GCP, with strong focus on cost-efficiency, scalability, and observability.
  • Collaboration:

  • Partner with product managers, engineering leads, and data teams to translate product vision into a robust technical roadmap.
  • Governance & Code Quality:

  • Establish architecture standards, perform design reviews, and guide developers through mentorship and best practices.
  • Security & Compliance:

  • Ensure architecture adheres to modern security frameworks, data privacy regulations, and compliance requirements (SOC 2, GDPR, etc.).



Desired Skills & Expertise

  • Core Expertise:

  • Strong proficiency in designing cloud-native and distributed systems (AWS/Azure/GCP).

  • Proficient in API-first architecture, microservices, and container orchestration (Docker, Kubernetes).
  • Deep experience with databases — relational (MySQL/Postgres) and modern data warehouses (Snowflake, BigQuery).
  • Familiarity with data integration frameworks (Kafka, Airbyte, MuleSoft, etc.).
  • Hands-on experience with at least one programming language (Python, Java, or Node.js).
  • AI/ML & Data Systems (Preferred):

  • Understanding of AI/LLM integration patterns, vector databases, and data pipelines.

  • Experience in designing systems that leverage AI agents or ML models for business automation.
  • Architecture & Delivery:

  • Proven track record in leading multi-team technical design initiatives.

  • Experience defining enterprise-grade security, observability, and CI/CD frameworks.
  • Soft Skills:

  • Excellent communication and documentation abilities.

  • Strategic mindset with hands-on problem-solving capability.
  • Experience mentoring teams and influencing technical direction.


Why Join Us

  • Work on

    cutting-edge AI-native systems

    shaping the future of supply chain automation.
  • Be part of a

    fast-growing global tech company

    redefining enterprise visibility and decision intelligence.
  • Collaborate with

    industry leaders and visionary founders

    on next-generation AI architecture.


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