Devops Engineer + AI at LTM in Hybrid - Hyderabad

Skill 1 - DEVOPS-AI - only 4+ years

AI experience is mandatory

We are looking for a DevOps AI Engineer to design and develop AI powered DevOps agents that automate CICD pipelines infrastructure management monitoring and operational workflows The role requires expertise in Python DevOps practices LLM prompt engineering and cloud platforms Key Responsibilities Develop AI agents for DevOps automation CICD deployments monitoring Build LLM based tools and agents using prompt engineering and APIs Automate infrastructure using DevOps and IaC tools Integrate AI systems with DevOps pipelines and platforms Develop tools for log analysis troubleshooting and incident automation Deploy solutions on cloud platforms Required Skills Strong Python programming Deep knowledge of DevOps processes and CICD pipelines Experience with Docker Kubernetes Experience with LLM prompt engineering Knowledge of AI agent frameworks Lang Chain AutoGen etc Optional Experience with cloud platforms AWS Azure GCP Preferred Skills Experience with RAG architectures Knowledge of vector databases Familiarity with GitOps and MLOps Experience building AI copilots or automation tools Experience 1216 years in DevOps Platform Engineering Experience working with AILLM based applications Tools Technologies Python Docker Kubernetes Terraform Jenkins GitHub Actions Lang Chain OpenAI API Prometheus Grafana AWS Azure GCP Skills Mandatory Skills : Azure API Management, Azure App Service, Azure Functions, Prompt Engineering, Python Good to Have Skills : Lang Chain

Skill 2 - DEVOPS-AWS - only 4+ years

Key Responsibilities
Build and manage automated pipelines for building testing and deploying code using tools like Jenkins and AWS DevOps
Set up smooth deployment processes for different environments like Dev QA and Production
Add tools for security checks and code quality checks into the development process
Work with other teams to connect tools like ServiceNow GitHub and JIRA with the platform
Automate infrastructure setup and make sure it fits with AIbased approach
Help prepare the platform for automated testing and performance improvements in AWS and Azure cloud
Implement the Agentic AI Platform in different client environments on AzureAWS cloud
Required Skills Experience
Around 1012 years of proven experience as a Senior DevOps Architect with strong infrastructure management expertise
Handson experience in server administration and cloud technologies Azure AWS
Solid understanding of networking network security and infrastructure components
Proficiency in scripting languages PowerShell Bash Python YAML JSON Shell scripting
Familiarity with databases MySQL PostgreSQL OpenSearch ArangoDB
Knowledge of ActiveMQ Artemis Kafka Keycloak and identity management protocols
AI GenAI Tools GPT41 LangGraph Mistral 7B LLM LTIM AI Platform agent development
Expertise in containerization and orchestration Docker Kubernetes
Build and manage automated pipelines for building testing and deploying code using tools like Jenkins and Azure DevOps
Strong analytical and problemsolving skills
Experience with ITSM tools and ticket management
Ability to multitask and deliver under stringent deadlines
Proficiency in MS Office Suite

Skill 3 - DEVOPS-AZURE-CICD - 4+ years

Job Title Infrastructure as Code IaC Engineer DevOps Specialist and Migration Engineer
Key Responsibilities - Infrastructure Automation
o Develop and maintain IaC scripts using Terraform Bicep Powershell script and Ansible for provisioning and configuration of cloud resources
o Implement Azure Resource Manager ARM templates and Bicep for Azurenative deployments
CICD Integration
o Build and optimize pipelines in Azure DevOps and GitLab for automated deployments
o Integrate IaC workflows with GitOps principles and version control systems
Cloud Platform Management
o Design and deploy infrastructure on Azure ensuring adherence to WellArchitected Framework
o Manage configuration drift detection and remediation using scheduled workflows
Migration Modernization
o Lead Azure Migrate projects and Azure Landing zone designs for onpremises to Azure migrations VMs databases applications
o Modernize workloads by containerizing JavaNET applications and deploying to AKS
o Optimize legacy systems for cloudnative architectures using CAF best practices
o Security Compliance
o Embed security checks in IaC pipelines using tools like Checkov or GitHub Advanced Security
o Implement identity and access management AAD Managed Identities and secure secrets via Azure Key Vault
Monitoring Optimization
o Configure monitoring solutions Azure Monitor Log Analytics for deployed resources
o Perform cost optimization and resource utilization analysis

Required Skills
IaC Tools Terraform multicloud Bicep Azure Ansible configuration management
DevOps Platforms Azure DevOps GitLab CICD
Scripting Automation PowerShell Bash YAML
Migration Tools Azure Migrate Azure Site Recovery
Cloud Expertise Microsoft Azure ARM AKS ACA App Services
Version Control Git GitHubGitLab workflows
AI Tools GitHub Copilot for automation and code generation
Scripting PowerShell Bash YAML
Security Practices Policy enforcement compliance scanning secrets management

Preferred Qualifications
Experience with Azure Verified Modules AVM for TerraformBicep
Familiarity with container orchestration AKS and GitOps workflows
Knowledge of multicloud strategies and hybrid deployments
Certifications Microsoft Certified DevOps Engineer Expert Terraform Associate SC401 Security

Soft Skills
Strong problemsolving and analytical skills
Ability to collaborate across distributed teams
Excellent documentation and communication skills

Skill 4 - DEVOPS SRE-AI - 4+ years

AI experience is mandatory

Site Reliability Engineer (SRE) Platform Engineering with experience in Gen AI Role Summary We are seeking an SRE Platform Engineer to build, scale, and operate reliable, secure, and automated platform services. You will focus on improving system reliability, reducing operational toil, and enabling developer productivity through strong engineering practices. You should also be willing to work on COE initiatives and internal Intellectual properties and products that team is required to build to fulfil the different client requirements. Key Responsibilities Build and operate highly available, scalable platform services Implement SRE practices: SLIs, SLOs, error budgets, and automation Manage and scale Kubernetes-based workloads in cloud environments Develop and maintain CI/CD pipelines and Infrastructure as Code Own production reliability, participate in on-call, incident response, and RCA (if required) Enhance observability using metrics, logs, and traces Required Skills 5-16 years of experience in SRE / Platform / DevOps / Cloud Engineering/ AI Hands-on experience with Kubernetes, Docker, Linux Strong scripting/programming skills (Python, Go, Bash) Experience with AWS / Azure / GCP Familiarity with Terraform / IaC, monitoring, and alerting tools Nice to Have Experience with internal developer platforms, service mesh, or FinOps Cloud or Kubernetes certifications