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Home
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Ideyalabs Tech
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DevOps-Lead

DevOps-Lead

Ideyalabs Tech

8 - 13 years

11 - 15 Lacs

Hyderabad

Posted:6 hours ago| Platform:

Apply

Skills Required

Computer science remediation Automation cloud security GCP Configuration management devops Cloud Open source Python

Work Mode

Work from Office

Job Type

Full 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

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:

Bachelors 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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