Roles and Responsibilities

• Design and implement automation solutions using Python, machine learning, AppDynamics, Splunk, and Unix scripting to streamline engineering and operations processes.
• Create and manage interfaces with multiple monitoring tools to provide a cohesive and efficient observability platform.
• Conduct application telemetry reviews and implement improvements to enhance system monitoring, performance, and troubleshooting.
• Work closely with Middleware (MW), Data teams, and other engineering partners to onboard and integrate new platforms into the automation pipeline.
• Evaluate and address scaling concerns, automating solutions in collaboration with key partners from both infrastructure and application perspectives.
• Take technical ownership of JIRA, Confluence coding, and development processes, ensuring best practices and effective project tracking.
• Increase the adoption and awareness of the OpenShift platform within the team and the broader organization.
• Identify potential use cases for automation across various systems and platforms and implement effective solutions to address them.

Required Skills

• Expertise in Python automation, machine learning, and data processing.
• Proficiency with AppDynamics, Splunk, and Unix scripting.
• Familiarity with cloud applications and cloud infrastructure (AWS, GCP, Azure, etc.).
• Strong understanding of containerized environments, especially OpenShift.
• Experience with monitoring and observability tools, ideally AppDynamics and Splunk.
• Experience in developing and maintaining JIRA and Confluence documentation for development workflows.

Preferred Qualifications

• Experience with OpenShift or other container orchestration platforms.
• Previous experience in cloud-native application development and automation.
• Familiarity with CI/CD pipelines and related automation tools.

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