DevOps Support Engineer

 
Key Responsibilities:

1. Platform Support and Maintenance:
   • Provide day-to-day operational support for our systems, ensuring high availability, performance, and reliability.

• • Monitor, troubleshoot, and resolve issues related to Kubernetes clusters, Snowflake data pipelines, and Azure infrastructure.

• • Collaborate with cross-functional teams to address incidents and implement robust solutions.

2. Infrastructure Automation and Optimization:
   • Develop and maintain automation scripts and tools using Python to streamline deployment, monitoring, and scaling processes.
   • Optimize Kubernetes cluster configurations, including resource allocation and scaling strategies.
   • Implement best practices for cloud resource utilization on Azure to reduce costs and improve efficiency.

3. Data Pipeline Management:
   • Support and enhance data pipelines built on Snowflake and Azure Data Factory (ADF).
   • Monitor data flow, troubleshoot pipeline failures, and ensure data integrity and availability.
   • Collaborate with data engineering teams to implement new data workflows and improve existing pipelines.

4. Security and Compliance:
   • Ensure the platform adheres to security standards and compliance requirements.
   • Perform regular audits of infrastructure and implement security patches as needed.
   • Manage role-based access control (RBAC) and permissions in Kubernetes, Snowflake, and Azure environments.

5. Collaboration and Communication:
   • Work closely with development, QA, and product teams to ensure seamless integration and deployment of new features.
   • Participate in on-call rotations to provide 24/7 support for critical issues.
   • Document processes, configurations, and troubleshooting guides to improve knowledge sharing across the team.

• Technical Expertise:
  • Proficient in managing Kubernetes clusters, including deployment, scaling, and monitoring.
  • Hands-on experience with Snowflake, including data modeling, query optimization, and pipeline management.
  • Strong programming skills in Python for automation and scripting.
  • Solid understanding of Azure cloud services, including compute, storage, networking, and identity management.
  • Familiarity with Azure Data Factory (ADF) for building and managing ETL/ELT pipelines.
• DevOps Practices:
  • Experience with CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
  • Knowledge of infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
  • Proficiency in monitoring tools like Prometheus, Grafana, or Azure Monitor.
• Soft Skills:
  • Excellent problem-solving and analytical skills, with a proactive mindset.
  • Strong communication skills to work effectively with cross-functional teams.
  • Ability to prioritize tasks and manage multiple responsibilities in a fast-paced environment.