DevOps with AI – Technology Specialist

DevOps with AI – Technology Specialist

Job Type: Contract
Location: Remote
Experience: 7–12 Years
Notice Period: Immediate Joiners Preferred

Job Summary

We are looking for a highly skilled DevOps / Kubernetes Engineer – Technology Specialist with strong hands-on experience in Azure AKS, Kubernetes, GitOps, Istio Service Mesh, Infrastructure as Code, and AI/Agentic platforms.

The ideal candidate will be responsible for supporting and optimizing enterprise-grade Kubernetes and microservices environments, implementing DevOps automation, monitoring production platforms, and enabling modern AI/Agentic application platforms.

This role requires strong production troubleshooting skills and the ability to work on complex L3 Kubernetes, microservices, cloud infrastructure, and AI platform environments.

Key Responsibilities

DevOps & Cloud Engineering

• Design, deploy, configure, and maintain Kubernetes clusters on Azure AKS.
• Implement and manage GitOps-based deployment workflows using ArgoCD.
• Develop and maintain infrastructure using Terraform.
• Manage application deployments using Helm and Kustomize.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, and Opsera.
• Automate infrastructure and operational processes using Python and Bash/Shell scripting.
• Implement secure and scalable DevOps practices across enterprise environments.

Kubernetes & Microservices

• Provide L3 production support for Kubernetes and microservices environments.
• Troubleshoot complex application, networking, deployment, and cluster-level issues.
• Manage containerized applications using Docker.
• Support enterprise microservices and API-based architectures.
• Work with service discovery, traffic management, ingress, networking, and application reliability.
• Manage container repositories using Nexus and/or JFrog.

Service Mesh & Observability

• Implement and manage Istio Service Mesh in Kubernetes environments.
• Configure traffic routing, security policies, observability, and service-to-service communication.
• Implement distributed tracing and telemetry using OpenTelemetry.
• Monitor application and infrastructure health using:
• Prometheus
• Grafana
• Dynatrace
• Kiali
• Loki
• Analyze logs, metrics, and traces to identify and resolve production issues.

AI / Agentic Platform Engineering

• Deploy, configure, and support AI/Agentic application platforms.
• Work with LiteLLM for LLM gateway and model integration capabilities.
• Support Langflow for AI workflow and agent development.
• Work with Azure AI Foundry / Agentic Foundry environments.
• Support applications built using the Azure Agent Framework.
• Deploy and manage OpenWebUI and related AI platform components.
• Collaborate with AI/ML teams to operationalize and scale agentic applications within enterprise Kubernetes environments.
• Support secure, scalable, and observable AI workloads.

Mandatory Skills

DevOps & Azure

• Azure Cloud
• Azure Kubernetes Service (AKS)
• Kubernetes
• Terraform
• ArgoCD / GitOps
• Helm / Kustomize
• Jenkins
• GitLab CI
• Opsera

Kubernetes & Platform

• Istio Service Mesh
• OpenTelemetry
• Docker
• Nexus / JFrog
• Enterprise Microservices / API Architecture
• L3 Production Support
• Python
• Bash / Shell Scripting

Monitoring & Observability

• Prometheus
• Grafana
• Dynatrace
• Kiali
• Loki
• OpenTelemetry

AI / Agentic Technologies – Mandatory

• LiteLLM
• Langflow
• Azure AI Foundry / Agentic Foundry
• Azure Agent Framework
• OpenWebUI

Good to Have

• Apigee
• Kafka
• MySQL
• Redis
• FinOps
• AIOps
• MLOps
• Retail / eCommerce domain experience

Must-Have Profile

Candidates must have strong hands-on experience with:

Azure AKS + Kubernetes + ArgoCD + Istio + Terraform + AI/Agentic Platforms

Candidates should also demonstrate experience in production troubleshooting, L3 support, microservices architecture, CI/CD automation, monitoring, and cloud-native platform engineering.

Ideal Candidate

The ideal candidate is a senior DevOps/Kubernetes professional who can work across cloud infrastructure, platform engineering, Kubernetes operations, observability, and emerging AI/Agentic technologies.

Strong problem-solving skills, production support experience, automation mindset, and the ability to work independently in a remote environment are essential.

Pay: ₹80,000.00 - ₹130,000.00 per month

Experience:

• DevOps: 7 years (Required)

Work Location: Remote