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Azure Devops Engineer

Azure Devops Engineer

Pragma Edge Software Services

3 - 5 years

6 - 10 Lacs

Hyderabad

Posted:12 hours ago| Platform:

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Skills Required

Unix Computer science Automation MS SQL Networking Configuration management Postgresql Machine learning Open source Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Azure Devops Engineer

Job Category - IT
Job Type - Full Time
Experience : 3 to 5 Years

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DevOps Engineer - Cloud Migration (Azure AKS)

As a DevOps Engineer, you will play a key role in automating and supporting the migration of enterprise workloads from traditional on-premise environments (e.g., Unix-based systems and legacy databases) to a containerized, cloud-native architecture on Azure AKS. You will be responsible for implementing GitOps practices, building CI/CD pipelines, and enabling secure, scalable, and automated infrastructure deployment using tools like Argo CD.

Job Responsibilities

Automation & Infrastructure as Code:

Develop and manage Infrastructure-as-Code (IaC) using tools like Terraform or ARM templates for provisioning Azure resources.
Create automation scripts and reusable configurations (e.g., Ansible playbooks) for application deployment and database setup.
Standardize and automate environment builds across dev, test, and production on Azure AKS.

CI/CD & GitOps Enablement:

Design and manage CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
Integrate automated validation, testing, and security scanning into the release pipelines.
Implement GitOps workflows using Argo CD to promote declarative deployments and maintain deployment consistency across environments.

Security, Compliance & Governance:

Embed DevSecOps practices including secret management, image vulnerability scanning, and RBAC policies.
Ensure compliance with cloud security guidelines and enterprise standards.
Conduct regular security assessments, log audits, and support incident response readiness.

System Monitoring, Administration & Support:

Implement observability using cloud-native tools like Azure Monitor, Prometheus, or Grafana.
Automate regular updates, backups, and recovery for application components and databases.
Troubleshoot infrastructure and platform issues affecting availability, scalability, or performance.

Minimum 8+ years in Machine Learning or related field.
At least 3+ years of direct contribution to Open Source Large Language Models (LLMs).
Proven experience with platforms such as Huggingface or OpenAI or watsonX.
Lead the development and implementation of advanced ML models and watsonX technologies.
Collaborate with cross-functional teams to integrate ML solutions and watsonX technologies.
Contribute to the development and maintenance of LLM and watsonX products
Stay updated with the latest trends and advancements in ML and AI.

Required Skills

3 - 5+ years of experience in DevOps or platform engineering roles, preferably with cloud migration exposure.
Bachelor s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Proficiency in scripting languages: Python, Bash, Groovy, or PowerShell
Hands-on experience with CI/CD platforms: Jenkins, GitLab CI, Bitbucket Pipelines
Familiarity with GitOps tools: Argo CD, Azure DevOps
Experience with configuration management tools: Ansible, Chef, or Puppet
Deep understanding of Azure AKS, Kubernetes, and Helm charts
Knowledge of cloud-native database deployment patterns (e.g., PostgreSQL, MongoDB, MS SQL Managed Instance)
Strong foundation in Linux system administration, networking, and container security

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Pragma Edge Software Services

Information Technology and Services

Austin

50-100 Employees

19 Jobs

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Azure Devops Engineer