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CareerNet Technologies Pvt Ltd Logo
Technical Architect

CareerNet Technologies Pvt Ltd

 

Coimbatore, Tamil Nadu, India

Posted On: 2 days ago
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: Technical Architect
Tenure: No Preference/Any
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Description

Key Skills: AI Architect, Agentic AI, Data Engineering, Saas, Machine Learning, Microservices, Kafka, LLM

Roles and Responsibilities:

  • Define architecture roadmaps, reference models, design standards and governance practices across application, data, AI and infrastructure domains.
  • Architect enterprise-scale digital platforms using Python, Django, FastAPI, React, Redux and PostgreSQL.
  • Design integration and API strategies that support modular, interoperable and scalable platform capabilities.
  • Lead multi-agent and LLM-enabled architecture using AgnoAI, MCP, LangChain, LangGraph and Langfuse.
  • Architect data and analytics platforms using Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau and Power BI.
  • Guide hybrid and multi-cloud architecture across AWS and Azure, including Infrastructure-as-Code with Terraform and workload orchestration with Kubernetes.
  • Conduct architecture reviews, assess technical risks and establish standards for security, resilience, observability and cost efficiency.

Skills Required:

  • 10-12 years of IT experience, including at least 5 years in architecture or technical leadership roles.
  • Strong architecture experience with Python, Django, FastAPI, React, Redux and PostgreSQL-based enterprise applications.
  • Hands-on design experience with AgnoAI, MCP, LangChain, LangGraph and Langfuse for agentic AI and orchestration solutions.
  • Expertise in Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau and Power BI data and analytics architectures.
  • Experience designing AWS and Azure environments with Terraform and Kubernetes for scalable, resilient workloads.
  • Ability to define integration patterns, architectural governance and technology blueprints for enterprise or SaaS platforms.

Good to Have:

  • Experience with microservices, LLM solutions, vector stores, Datadog, Apache Kafka, Docker, Apache Spark, Apache Airflow, Grafana or Prometheus.

Education: B.Tech or M.Tech in Computer Science, Information Technology, Engineering or a related discipline

Education

Any Graduate

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