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Cloud Automation Engineer (AI Enablement) @ Teamlease Digital

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 Cloud Automation Engineer (AI Enablement)

Job Description

Role & responsibilities

  • Bachelor's degree in engineering, Computer Science, Information Systems, or equivalent experience required.
  • 610+ years in cloud automation/DevOps/IaC with Terraform, Ansible, Azure DevOps, and GitHub. Experience integrating AI/ML into automation workflows.
  • Handson with policy-as-code, secrets/key management, CI/CD pipelines, FinOps frameworks (tagging, budgets/alerts, show back/chargeback), and cost optimization.
  • Experience building AI enabled automations: LLMs, RAG, AI agents, prompt engineering, vector databases, and secure enterprise data integration.
  • Proven track record leading POCs/pilots, establishing observability/SLOs (including AI services), and delivering reusable automation templates at enterprise scale.

Preferred candidate profile


  • IaC: Terraform modules, state/backends, workspaces; policy-as-code (e.g., OPA/Conftest), drift/compliance detection.
  • CI/CD: Azure DevOps/GitHub Actions pipelines, environments, approvals/gates; artifacts, versioning, branching/PR/testing strategies; AI copilots embedded for code/pipeline quality.
  • Configuration management: Ansible roles/playbooks/collections; inventories and vaults; idempotent provisioning and day2 configuration with agentic automation.
  • Cloud platforms: Azure compute, network, storage; ARM/Bicep familiarity; identity (Entra ID) and RBAC integration.
  • Security/compliance-by-design: Secrets management (Key Vault/GitHub Secrets), least privilege/RBAC, audit ready pipelines and change controls; secure model/inference endpoints.
  • FinOps: cost tagging standards, budgets/alerts, unit economics, show back/chargeback dashboards; AI driven cost insights and recommendations.
  • Observability: Telemetry for deployments and AI inference, error budgets/SLO dashboards, change validation gates, compliance reporting.
  • AI/ML & Intelligent Automation (Preferred Skills):
    • MLOps (model lifecycle automation, CI/CD for ML pipelines)
    • LLMs and prompt engineering
    • RAG pipelines and vector stores
    • AI agent/orchestration frameworks (Semantic Kernel, LangChain, AutoGen)
    • Inference optimization, drift detection
    • Python for AI automation, APIs, orchestration

Job Classification

Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Automation Developer
Employement Type: Contract

Contact Details:

Company: Team lease Digital
Location(s): Hyderabad

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Keyskills:   Automation Artificial Intelligence Azure Devops Aiml

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₹ 1.25-2.5 Lacs P.A

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