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DevOps-Lead

8 years

3 - 8 Lacs

Hyderābād

Posted:1 day ago| Platform: GlassDoor logo

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Skills Required

devops automation architecture development provisioning configuration openai automate drift terraform management ansible chef ai ml design aws azure drive devsecops compliance engineering programming scripting python security monitoring tuning certifications

Work Mode

On-site

Job Type

Part Time

Job Description

About the Role:
We are seeking a DevOps Technical Lead with a strong background in infrastructure automation, cloud architecture, and a keen interest in Generative AI technologies. The ideal candidate will lead the development of an Infrastructure Agent powered by GenAI – capable of intelligent provisioning, configuration, observability, and self-healing.
Key Responsibilities:
  • Lead architecture & design of an intelligent Infra Agent leveraging GenAI capabilities.
  • Integrate LLMs and automation frameworks (e.g., LangChain, OpenAI, Hugging Face) to enhance DevOps workflows.
  • Build solutions that automate infrastructure provisioning, CI/CD, incident remediation, and drift detection.
  • Develop reusable components and frameworks using IaC (Terraform, Pulumi, CloudFormation) and configuration management tools (Ansible, Chef, etc.).
  • Partner with AI/ML engineers and SREs to design intelligent infrastructure decision-making logic.
  • Implement secure and scalable infrastructure on cloud platforms (AWS, Azure, GCP).
  • Continuously improve agent performance through feedback loops, telemetry, and fine-tuning of models.
  • Drive DevSecOps best practices, compliance, and observability.
  • Mentor DevOps engineers and collaborate with cross-functional teams (AI/ML, Platform, and Product).
Required Qualifications:
  • Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
  • 8+ years of experience in DevOps, SRE, or Infrastructure Engineering.
  • Proven experience in leading infrastructure automation projects and technical teams.
  • Expertise with one or more cloud platforms: AWS, Azure, GCP.
  • Deep knowledge of tools like Terraform, Kubernetes, Helm, Docker, Jenkins, and GitOps.
  • Hands-on experience integrating or building with LLMs / GenAI APIs (e.g., OpenAI, Anthropic, Cohere).
  • Familiarity with LangChain, AutoGen, or custom agent frameworks.
  • Experience with programming/scripting languages: Python, Go, or Bash.
  • Understanding of cloud security, policy as code, and monitoring tools (Prometheus, Grafana, Datadog).
Preferred Qualifications:
  • Experience building or fine-tuning LLM-based agents for operations or automation tasks.
  • Contributions to open-source GenAI or DevOps projects.
  • Understanding of MLOps pipelines and AI infrastructure.
  • Certifications in DevOps, cloud, or AI technologies (e.g., AWS DevOps Engineer, Azure AI Engineer).

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