Job Description

Job Title: Java & Snowflake Support Engineer (Azure/Kubernetes)

Location: Remote

Duration/Term: Long Term Contract

Job Description:

We are seeking a highly skilled Java Snowflake Support Engineer with expertise in Java, Splunk, Snowflake, Databricks, Control-M, data storage, Azure, Kubernetes, Docker, and Azure Pipeline . This role involves troubleshooting and maintaining enterprise systems , ensuring high availability , optimizing performance across cloud and containerized environments , and supporting CI/CD automation workflows using Azure Pipeline .

Key Responsibilities:

• Provide technical support for applications and infrastructure using Java, Splunk, Snowflake, Databricks, Control-M, and Azure services .
• Monitor system health, investigate issues , and implement resolutions to optimize performance .
• Manage and improve Control-M job scheduling workflows to enhance automation efficiency.
• Utilize Splunk for log analysis, alerting, and proactive monitoring of systems.
• Support Snowflake and Databricks environments , ensuring data integrity and efficient processing .
• Deploy, maintain, and troubleshoot applications within Azure cloud infrastructure .
• Configure and manage Kubernetes clusters for container orchestration and scalability.
• Work with Docker containers to support microservices architecture and software deployment .
• Optimize CI/CD pipelines using Azure Pipeline for automated software deployment.
• Collaborate with development and operations teams to integrate CI/CD workflows and automate infrastructure provisioning .
• Maintain documentation for troubleshooting guides, support processes, and operational best practices.

Required Skills & Qualifications:

• Strong proficiency in Java development, debugging, and application support .
• Hands-on experience with Control-M for job scheduling and automation.
• Expertise in Splunk for log monitoring and analysis.
• Solid understanding of Snowflake and Databricks for data storage and processing.
• Experience with Azure cloud services , including deployment, networking, and security .
• Knowledge of Kubernetes for container orchestration and management.
• Proficiency in Docker for containerization and microservices deployment.
• Experience managing CI/CD workflows using Azure Pipeline .
• Strong troubleshooting and problem-solving skills in production environments.
• Excellent communication and collaboration skills .

Preferred Qualifications:

• Familiarity with CI/CD best practices and automation tools.
• Experience with cloud security and compliance best practices .
• Knowledge of scripting languages like Python or Bash for automation.
• Prior experience working in enterprise-scale environments .

Key Skills:

Java development, Snowflake & Databricks support, Splunk log analysis, Control-M job scheduling, Azure cloud services, Kubernetes container orchestration, Docker microservices deployment, CI/CD automation (Azure Pipeline), troubleshooting, enterprise system optimization.

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