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Tungsten Automation

Cloud System Engineer

Posted 2 months ago
2-5 years experience
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AI Summary

Responsible for monitoring and maintaining the performance, capacity, and integrity of cloud-hosted SaaS services. This includes providing 24/7 Tier II/III support and ensuring compliance with security standards like SOC2 and ISO27001.

The Cloud System Engineer will be a critical member of the Production Services Team, responsible for safeguarding the processing integrity and timeliness of customer data hosted in our SaaS services. This role includes 24/7/365 on-call duties and focuses on monitoring, performance, and capacity issues, as well as remediating production-related issues to meet the team's Service Level Agreements (SLAs).

Key Responsibilities:

  • System Monitoring: Continuously monitor the performance and capacity of cloud-hosted SaaS services, ensuring the integrity and timeliness of data processing.
  • Incident Management: Participate in an on-call rotation, providing Tier II/III support related to system incidents, including diagnosing, troubleshooting, and remediating issues.
  • Compliance & Security: Adhere to all company guidelines and policies related to SOC2 Type II and ISO27001 compliance. Implement and monitor security controls as per established guidelines.
  • Performance Tuning: Proactively identify bottlenecks and performance issues, taking appropriate actions working with R&D and other stakeholders
  • Data Integrity: Ensure that all system activities and processes comply with established protocols, safeguarding data integrity and confidentiality.
  • Collaboration: Work closely with other departments such as the Cloud Operations, Application Services, Cloud PMO, and Cloud GRC to collaborate on projects, policies, and compliance.
  • Documentation: Maintain documentation of all system configurations, updates, and procedures for both internal team and compliance purposes.
  • Efficiency: Utilizes AI-enabled tools (e.g., chatbots, documentation automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards

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