Technical Architect

1 day ago

Pune, Maharashtra, India beBeeCloud Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Opportunity

This role is part of a comprehensive team focused on commercial solutions, embracing diversity and inclusivity.


The ideal candidate will be an experienced DevOps Engineer with several years of hands-on expertise in managing systems and IT infrastructure, with a strong emphasis on automation and security. Proficiency in various DevOps tools and methodologies, infrastructure as code, AI/ML frameworks, and cloud services is essential.


Key Responsibilities:
  • Understand business & technical requirements from stakeholders and suggest suitable solution architecture including choice of tools/services.
  • Facilitate the development process and operations.
  • Help develop and maintain automated processes, tools, and documentations.
  • Highlight risks and challenges and suggest alternative tools/solution/approach when applicable.
  • Design & build and maintain optimal CI/CD pipelines using Groovy, Job DSL, etc.
  • Responsible for overall Kubernetes setup and configuration.
  • Develop and deploy cutting-edge Generative AI solutions and moderate complex software solutions tailored to customer needs.
  • Develop, test, and deploy Azure infrastructure using Terraform.
  • Configuration management using Ansible.
  • Developing SQL queries to research, analyze, and troubleshoot data and ETL loads.

Required Skills:
  • 7+ years of industry experience with 4+ years in DevOps tools/practices.
  • Up-to-date knowledge on DevOps, GitOps tools, and technologies.
  • Expertise in usage of version control systems (Git, GitHub).
  • Expertise in creating CI/CD Pipelines (Jenkins).
  • Expertise in designing, creating, and implementing Terraform modules.
  • Expertise in infrastructure management and monitoring.
  • Experience with Docker and Kubernetes.
  • Good understanding of Azure services.
  • Familiarity with GenAI models such as LLM and natural language processing techniques.
  • Experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics).
  • Experience with Azure Cognitive Services and other AI/ML frameworks.
  • Strong knowledge in Python.

Preferred Skills:
  • Microsoft Certified: DevOps Engineer Expert.
  • Certified Kubernetes Administrator (CKA).
  • Knowledge of LLM and RAG solution.

Desirable Traits:
  • Strong communication skills and ability to communicate analytical and technical content in an easy understandable way.
  • Agile development, technical design & specification, User Story & Task writing.
  • Basic knowledge of insurance/asset management/services processes and related data/contents.
  • Ability to deliver high-quality results under time-constraints and concurrent tasks.
  • Outstanding verbal and written English communication skills.
  • Having a basic understanding or exposure to AI tools would be a plus.

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