Description

Maintain and optimize enterprise systems across cloud and containerized environments.

This role is remote.

Responsibilities

• Troubleshoot applications and infrastructure using Java, Snowflake, and Databricks.
• Monitor system health and analyze logs with Splunk for proactive alerting.
• Manage and optimize Control-M job scheduling workflows to improve automation.
• Deploy and maintain applications within Azure cloud infrastructure and Kubernetes clusters.
• Manage CI/CD pipelines using Azure Pipeline to support automated software deployments.

Required Skills

• 5+ years of experience in production environment troubleshooting and problem-solving.
• Strong proficiency in Java development, debugging, and application support.
• Hands-on experience with Control-M for job scheduling.
• 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 and networking.
• Knowledge of Kubernetes for container orchestration.
• Proficiency in Docker for containerization and microservices deployment.
• Experience managing CI/CD workflows using Azure Pipeline.

Preferred Skills

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

Key Skills

Education

Any Graduate