Cloud Integration Engineer ( Splunk Engineer ) - REMOTE WORK

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Job Overview

The Cloud Integration Engineer (Splunk Engineer) at System One will be responsible for the design, implementation, and maintenance of Splunk systems and integrations within cloud environments. The ideal candidate will work closely with cross-functional teams to analyze requirements, develop efficient solutions, and ensure optimal performance and security of Splunk applications. This remote position requires deep technical expertise with Splunk technologies and a strong ability to troubleshoot and resolve issues in a cloud-based setting.

Job Responsibilities

• Design, deploy, and manage Splunk solutions in cloud environments.
• Collaborate with stakeholders to gather and analyze requirements for Splunk integrations.
• Monitor and optimize Splunk performance, ensuring high availability and resilience in deployments.
• Troubleshoot, debug, and resolve network, performance, and functional issues within Splunk systems.
• Implement and maintain security best practices within Splunk environments.
• Develop custom dashboards, alerts, and reports to meet organizational needs.
• Provide technical guidance and support to end-users and other technical teams.
• Stay current with the latest Splunk features, integrations, and cloud technologies.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in a Cloud Integration role, with a focus on Splunk.
• Strong knowledge of Splunk architecture, components, and configurations.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in scripting languages (e.g., Python, Bash) for automation purposes.
• Familiarity with data monitoring, logging concepts, and analytics frameworks.
• Excellent troubleshooting and problem-solving skills.
• Ability to work independently in a remote setting and manage multiple tasks effectively.

Technologies & Tools

The Cloud Integration Engineer will primarily work with Splunk as the key technology for data analysis and visualization. Additional tools and technologies include cloud services such as AWS, Azure, or Google Cloud, along with scripting tools such as Python and Bash for automation tasks. Familiarity with other monitoring and logging tools may also be required to complement Splunk functionalities.

Ideal Candidates

The ideal candidate for the Cloud Integration Engineer position is someone who possesses strong analytical and organizational skills, with a detail-oriented mindset for optimizing technical solutions. They should demonstrate a passion for continuous learning, particularly in emerging cloud technologies and Splunk advancements. Effective communication skills, both written and verbal, are essential for collaborating with teams and presenting findings to non-technical stakeholders. A proactive and self-motivated individual who can thrive in a remote work environment will excel in this role.