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 contemporary 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

📌 DevOps with AI – Technology Specialist (India)
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