Remote Cloud Systems Engineer – SaaS Reliability & Security

Tungsten Automation Corporation

Malaysia

Remote

MYR 120,000 - 180,000

Full time

14 days+

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Job summary

Tungsten Automation Corporation, Malaysia, seeks a Cloud System Engineer to safeguard data processing in our SaaS services. This role involves 24/7 on-call duties, monitoring, and remediation to meet SLAs.

You will join Production Services and collaborate across Cloud Operations, PMO, and GRC to ensure compliant, reliable services. The position emphasizes SOC2 Type II and ISO27001 alignment, with responsibilities spanning documentation, performance tuning, and incident response.

Qualifications

Information Technology-related qualification or equivalent work experience.
Minimum of 3 years' experience in IT service delivery and operations, including SaaS delivery models.
Minimum of 3 years' experience in system administration on Windows and Linux production environments.
Experience with Amazon Web Services and Azure public cloud infrastructures.
Experience with ITIL incident, problem, and request management.
Solid understanding of cyber security principles and their application in cloud services.
Strong analytical and problem-solving skills.
Experience with monitoring tools such as New Relic and Grafana.
Skills in prompting AI systems and assessing quality.
Ability to leverage AI to ideate, develop and scale to the needs of the department.
Knowledge of scripting languages such as Python, Bash, Shell or Powershell.

Responsibilities

System Monitoring: Continuously monitor the performance and capacity of cloud-hosted SaaS services, ensuring data integrity and timely processing.
Incident Management: Participate in on-call rotation, providing Tier II/III support related to system incidents, including diagnosing and remediating issues.
Compliance & Security: Adhere to SOC2 Type II and ISO27001 guidelines and implement security controls.
Performance Tuning: Identify bottlenecks and performance issues, coordinating with R&D and other stakeholders.
Data Integrity: Ensure all system activities comply with established protocols and safeguard data confidentiality.
Collaboration: Work with Cloud Operations, Application Services, Cloud PMO, and Cloud GRC on projects and policies.
Documentation: Maintain configuration and procedure docs for internal teams and audits.
Efficiency: Leverage AI tools to improve efficiency and accuracy while following governance and privacy standards.