DevOps Engineer – Azure, Kubernetes
12 hours ago
Job Title:
DevOps Engineer – Azure, Kubernetes
Experience Required:
5+ years
Location:
Bangalore-Onsite
Employment Type:
Full-Time
About the Role
We are seeking an experienced and proactive
DevOps Engineer
with deep expertise in
Azure Cloud
and
Kubernetes
to join our growing team. The ideal candidate will be responsible for designing, implementing, and managing
CI/CD pipelines
, automating infrastructure, and ensuring smooth deployment of applications and AI/ML models in production. This role requires strong problem-solving skills, attention to detail, and the ability to work in a fast-paced, collaborative environment.
Key Responsibilities
- CI/CD Development:
Build and maintain CI/CD pipelines using
Jenkins
and
GitHub Actions
for Java-based applications. - Cloud Infrastructure Management:
Design, deploy, and manage infrastructure on
Microsoft Azure
, leveraging multiple deployment models. - Kubernetes Administration:
Implement, configure, and manage Kubernetes clusters, including lifecycle management and scaling. - Messaging Systems Integration:
Work with
ArtemisMQ
for message-driven systems, ensuring reliability and performance. - Application Architecture Support:
Collaborate on 3-tier and microservices architectures, including
Self-Contained Systems (SCS)
. - AI/ML Model Deployment:
Deploy, monitor, and scale AI/ML models in production environments. - Infrastructure Automation:
Use Infrastructure as Code (IaC) tools to automate provisioning and configuration, following best practices. - Monitoring & Troubleshooting:
Monitor system performance, troubleshoot deployment issues, and implement solutions to maintain high availability.
Required Skills & Experience
- Minimum
5 years
of DevOps experience with a strong focus on Azure Cloud and Kubernetes. - Proven experience building and managing CI/CD pipelines using
Jenkins
and
GitHub Actions
. - Strong understanding of
Azure deployment models
and cloud infrastructure best practices. - Hands-on experience with
Kubernetes cluster lifecycle management
. - Proficiency in integrating and managing
messaging systems
such as
ArtemisMQ
. - Familiarity with
3-tier
,
microservices
, and
Self-Contained Systems (SCS)
architecture patterns. - Experience deploying and scaling
AI/ML models
in production. - Strong scripting skills in
Bash
,
Python
, or similar. - Solid understanding of
infrastructure automation tools
(Terraform, Ansible, or equivalent). - Excellent troubleshooting skills across build, deployment, and runtime environments.
Nice to Have
- Knowledge of
container security best practices
. - Experience with
GitOps workflows
(e.g., ArgoCD, Flux). - Exposure to
event-driven architectures
.
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