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Job Description
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).
- Bachelors or Masters 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.
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- 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).
- 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.
Skills
PythonAi/mlAiMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
02 May 26, 05:36 PM IST
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