SaaS Platform Systems Engineer

Summary

Join GoDaddy's Employee Productivity team as a remote-based Collaboration Software Engineer! You will ensure stable and secure platforms for all GoDaddy employees, working with various tools like Slack, Atlassian products, and M365. Analyze performance, support these environments, and uncover areas of opportunity to improve efficiency. This role involves configuring and maintaining SaaS applications, reviewing release notes, maintaining support queues, collaborating with M&A teams, and translating business requirements into platform capabilities. You'll need 3+ years of experience configuring SaaS platforms and supporting collaboration tools, along with strong analytical and investigative skills. GoDaddy offers a competitive benefits package, including paid time off, retirement savings, bonuses, health benefits, and parental leave.

Requirements

• 3+ years of proven experience configuring SaaS Platforms
• 3 + years supporting collaboration tools
• Strong critical, analytical, and investigative skills; ability to gather information, analyze facts, and draw conclusions
• Proven track record to tell stories through data
• Ability to run multiple tasks and people in a fast-paced, customer-focused environment

Responsibilities

• Configure, and maintain software-as-a-service (SaaS) and enterprise-wide applications or platforms associated with the collaboration software
• Perform basic or sophisticated configuration, operations, setup, and updating of SaaS platforms
• Review applications release notes and bring new features' functionality to the team for review
• Maintain support queues and knowledge articles related to supported platforms
• Work with M&A teams on migrations of collaboration tools
• Translate and match collaborator and business requirements to Enterprise platform capabilities. Sets up user accesses and trains users on the application where applicable
• Recommend and implements changes in application development, configuration, maintenance, and system standards

Preferred Qualifications

• Bachelor’s degree in a Data/IT-related field, such as Data Science, Business Intelligence, Analytics, etc., or equivalent work experience
• MBA

Benefits

• Paid time off
• Retirement savings (e.g., 401k, pension schemes)
• Bonus/incentive eligibility
• Equity grants
• Participation in our employee stock purchase plan
• Competitive health benefits
• Parental leave