Cloud Automation Architect

1 day ago

Bengaluru, Karnataka, India beBeeDevops Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About the Role

We are seeking a skilled DevOps Architect to join our team. As a key member of our organization, you will be responsible for supporting the DevOps capability and managing small teams of DevOps engineers.

Key Responsibilities:
  • Estimate costs for Cloud Platform automation and DevOps activities and develop proposals.
  • Multicloud exposure: AWS, Azure, GCP.
  • Adept understanding of different cloud services and platforms and their associated limitations, with special focus on Network and Application security considerations.
  • Plan and perform Infrastructure automation, Build, Deploy and Release automation on various cloud platforms.
  • Design and configure DevSecOps pipeline for various projects, working with clients and project teams.
  • Define, articulate, and evangelize Cloud Platform Automation activities.
  • Mentor and guide fresh talent in the capability.
  • Serve as a thought leader and SME for DevOps industry trends, new and existing technology offerings, and architectural concepts.
Required Skills and Qualifications:
  • Cloud: AWS, Azure, GCP
  • Containers/Orchestration: Docker, Kubernetes, AKS, EKS
  • Infra as Code: Terraform, AWS CDK or Azure Biceps
  • CI/CD Tool: AWS Code Repo, Azure DevOps
  • Repository Management: Artifactory, Nexus, JFrog
  • Code Analysis: SonarQube
  • Security Tools: Fortify/Blackduck/Checkmarx
  • Monitoring / Security: Grafana, Prometheus
  • Database: MySQL, MongoDB, DynamoDB
  • Scripting/Languages: Shell, Python, Groovy, YAML
Benefits:
  • Drive DevOps adoption by implementing CI/CD tool sets and best practices for automation.
  • Manage cloud AWS, Azure and GCP
  • Hands-on experience with containerization and orchestration platforms using Docker, and Kubernetes on Cloud (AKS, EKS)
  • Automating tools/infra provisioning using Ansible, Terraform
  • Automate provisioning and repetitive tasks using Terraform and Python.
  • Provide mentorship and guidance to team members.
  • Experience in developing proposals and responding to Requests for Proposals (RFPs).
  • Leverage Generative AI to enhance efficiency and effectiveness in DevOps processes.
Agentic Framework:
  • Hands-on experience with Model Context Protocol (MCP), LangGraph/ LangChain for building LLM-powered agents, multi-step reasoning workflows, and tool-augmented automation.
  • RAG (Retrieval-Augmented Generation) – Designing and implementing solutions that combine LLMs with internal documentation, operational runbooks, or logs for contextual responses.
  • GenAI Cloud Services – Hands-on experience with AWS Bedrock, Azure OpenAI Service, and Google Vertex AI Generative AI.
  • API Consumption – Proficiency in integrating GenAI models into workflows using REST and GraphQL APIs - using Python FastAPI.
  • Integration & Automation – Embedding Generative AI into CI/CD pipelines, ChatOps workflows, and ticketing systems for DevOps efficiency.
  • Security & Governance for GenAI – Implementing measures to prevent prompt injection, ensuring compliance, managing sensitive data, and setting up governance frameworks.

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