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DevOps Support Engineer

0 years

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Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are seeking highly motivated and skilled DevOps Support Engineers to join 

our team. The ideal candidates will have a strong background in modern DevOps 

tools and practices, with expertise in Kubernetes, Snowflake, Python, Azure, Azure Data Factory (ADF), and 

other relevant technologies. This role requires a blend of technical expertise, problem-solving skills, and a customer-focused mindset to ensure the smooth 

operation and scalability of our infrastructure.


Location: Off-Shore (India)

Positions: 4



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.


Required Skills and Qualifications:


1. 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.

2. 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.

3. 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.

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