AWS CloudOps Engineer for Data Platform Reliability

IQVIA Inc

Wayne (PA)

Hybrid

USD 76,000 - 189,000

Full time

5 days ago

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Job summary

IQVIA is seeking a CloudOps Engineer to support the operation, reliability, and continuous improvement of a cloud-based data platform. In this role, you will investigate and resolve complex technical incidents, troubleshoot data and API issues, automate operational processes, and collaborate with Engineering and DevOps teams to implement permanent solutions.

This hybrid role in Wayne, Pennsylvania, offers opportunities to work with AWS-based environments, write Python scripts, and leverage

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or another STEM-related field.
Three to five years of experience in cloud operations, platform support, technical support, site reliability engineering, DevOps, or a related field.
Hands-on experience supporting and maintaining cloud platforms in AWS.
Experience monitoring, troubleshooting, and responding to incidents within large-scale data or software environments.
Working knowledge of SQL for data investigation and analysis.
Basic proficiency in Python for scripting and automation.
Experience using monitoring and logging tools such as AWS CloudWatch.
Understanding of REST APIs and experience with API testing tools such as Postman or cURL.
Demonstrated ability to diagnose technical problems, implement changes, and validate solutions.
Strong written and verbal communication skills, with a focus on customer empathy and disciplined incident management.
Ability to work effectively in a fast-paced, collaborative, and continuously evolving environment.

Responsibilities

Monitor, maintain, and support cloud-based data platforms hosted in AWS.
Investigate and diagnose complex technical issues using AWS CloudWatch, log analysis, monitoring tools, and browser-based debugging utilities.
Manage technical incidents throughout their lifecycle, providing timely updates and ensuring resolution in accordance with established SLAs.
Identify root causes, implement fixes, validate changes, and contribute to permanent product and platform improvements.
Execute SQL queries and develop basic Python scripts to validate data integrity, investigate discrepancies, and automate repetitive operational tasks.
Troubleshoot large-scale data processing and platform issues in Databricks or comparable big-data environments.
Analyze REST API behaviour using tools such as Postman and cURL to isolate integration errors and validate endpoints.
Use automation and infrastructure-as-code tools, including Ansible and Terraform, to implement and manage platform changes.
Collaborate with Engineering and DevOps teams through GitLab to report defects, recommend solutions, deploy changes, and track resolutions.
Create and maintain technical documentation, troubleshooting guides, and knowledge-base articles.
Communicate clearly and empathetically with customers and internal stakeholders during critical incidents and complex troubleshooting activities.
Participate in an operational feedback loop by identifying issues, debugging problems, deploying solutions, and verifying that changes deliver lasting improvements.