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Azure DevOps Engineer (Mid-Level)

Hyderabad, India

Full-time

About the Role

We are looking for a skilled and motivated Azure DevOps Engineer to join our dynamic team. In this mid-level role, you will be responsible for designing, implementing, and managing CI/CD pipelines, automating infrastructure, and ensuring seamless deployment and operations within Azure environments.

You will work closely with development, QA, and operations teams to optimize processes, enhance system reliability, and drive innovation. If you have a passion for cloud technology, automation, and continuous improvement, this is the perfect opportunity for you!

Key Responsibilities:
  • CI/CD Pipeline Development: Design, implement, and maintain scalable and efficient Continuous Integration/Continuous Deployment pipelines in Azure DevOps. 

  • Infrastructure as Code (IaC): Develop and manage Infrastructure as Code using tools like Terraform, ARM templates, or Bicep. 

  • Cloud Management: Administer and optimize Azure resources, including VMs, storage, networking, and security. 

  • Monitoring and Alerts: Implement monitoring, logging, and alerting solutions using Azure Monitor, Application Insights, and Log Analytics. 

  • Automation: Automate routine tasks and processes to improve operational efficiency and reduce manual intervention. 

  • Collaboration: Work with development, QA, and operations teams to ensure smooth and secure deployment workflows. 

  • Security and Compliance: Ensure cloud environments comply with organizational and industry security standards. 

  • Troubleshooting: Diagnose and resolve system and deployment issues across development, testing, and production environments. 

  • Continuous Improvement: Stay updated on Azure and DevOps trends, recommending new tools and processes to enhance team efficiency.

Qualifications:

Education: 

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). 


Technical Skills: 

  • Strong hands-on experience with Azure DevOps tools and services. 

  • Proficiency in Infrastructure as Code (IaC): Terraform, ARM templates, or Bicep. 

  • Expertise in building and managing CI/CD pipelines for various application types. 

  • Strong knowledge of Azure cloud services, including Virtual Machines, AKS, App Services, Azure Functions, and Azure Storage. 

  • Familiarity with scripting and programming languages: PowerShell, Bash, Python, or similar. 

  • Experience with containerization tools such as Docker and orchestration platforms like Kubernetes (AKS preferred). 

  • Knowledge of monitoring tools like Azure Monitor, Application Insights, and Prometheus. 

  • Proficiency in version control systems like Git. 

  • Understanding of security best practices for cloud infrastructure. 

Experience: 

  • 3–5 years of hands-on experience in DevOps engineering or a related field. 

  • Experience in managing Azure cloud infrastructure and services. 

  • Previous experience in Agile/Scrum development environments is a plus. 

Soft Skills: 

  • Strong analytical and problem-solving skills. 

  • Excellent communication and collaboration abilities. 

  • Ability to work independently and as part of a team.

About the Company

Datamaze is a dynamic company specializing in AI, Data, and Analytics consulting services. We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence. With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization. Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives. The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation.

Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge.

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