AS Technology Corporation
Website:
astechnologycorp.com
Job details:
WE ARE LOOKING FOR 7+YR OF EXPERIENCE.
We are seeking a highly skilled DevOps Engineer with strong expertise in Azure
Cloud, Kubernetes, Infrastructure as Code, CI/CD automation, and cloud security
practices. The ideal candidate will also bring hands-on experience in MLOps and
LLMOps, supporting model deployment, automation pipelines, and GPU-based
workload optimization.
Key Responsibilities
Cloud & Infrastructure
Design, implement, and manage DevOps solutions in Microsoft Azure.
Demonstrate strong understanding of Azure cloud infrastructure services and
their limitations.
Configure and monitor application performance, scaling strategies, and auto
scale-up/scale-down mechanisms.
Provide best practices for provisioning production and non-production
environments to optimize cloud usage and costs.
Proactively identify and remediate vulnerabilities within the Azure ecosystem.
Manage secure credential handling using tools such as HashiCorp Vault or
Azure Key Vault.
Containerization & Kubernetes
Manage and scale production-grade Kubernetes clusters (AKS / OpenShift).
Develop and implement containerization strategies using Docker and
Kubernetes.
Implement and manage serverless solutions within Azure.
Ensure strong understanding of microservices architecture and API
communication in containerized environments.
CI/CD & GitOps
Implement declarative, automated application deployments using GitOps
principles with ArgoCD.
Maintain and enhance CI/CD pipelines using Bamboo and Tekton.
Configure webhooks and build triggers for CI pipelines.
Integrate automated security scanning (SAST/DAST) and container image
signing into the build process.
Infrastructure as Code
Develop and manage infrastructure using Terraform.
Security & Monitoring
Implement security best practices across cloud infrastructure.
Work with system, security, and network monitoring tools.
Ensure compliance and continuous monitoring of infrastructure and
applications.
Operations & Reliability
Demonstrate strong understanding of application architecture and common
failure modes.
Support 24x7 application operations including:
o Incident Management
o Change Management
o Capacity Management
MLOps & LLMOps Responsibilities
Model Deployment: Build and manage infrastructure to support LLM serving,
fine-tuning, and monitoring.
Pipeline Automation: Apply MLOps principles to automate data versioning and
model training workflows.
Resource Optimization: Manage GPU-intensive workloads and optimize
compute costs within Azure environments.
Required Skills & Qualifications
Proven experience in DevOps within Azure Cloud environments.
Hands-on expertise in Kubernetes (AKS/OpenShift), Docker, and serverless
architectures.
Strong experience with Terraform (Infrastructure as Code).
Experience with CI/CD tools such as Bamboo, Tekton, and GitOps tools like
ArgoCD.
Understanding of cloud security, vulnerability management, and automated
security testing (SAST/DAST).
Experience handling production environments and large-scale distributed
systems.
Exposure to MLOps / LLMOps practices is highly preferred.
Click on Apply to know more.