IT Operations Support Analyst
RAPSYS TECHNOLOGIES PTE. LTD.
Singapore
On-site
SGD 60,000 - 80,000
Full time
Job summary
A technology solutions provider in Singapore is seeking an experienced IT Operations Support Specialist to provide operational support for analytics platforms. The role involves monitoring system performance, troubleshooting issues, and collaborating with teams. Ideal candidates have 3–5 years of experience in IT operations and familiarity with cloud environments such as AWS or Azure. Strong problem-solving and communication skills are essential.
Qualifications
- 3–5 years of experience in IT operations, application support, or infrastructure support.
- Familiarity with data platforms and cloud environments.
- Basic scripting or automation skills are a plus.
Responsibilities
- Provide daily operational support for analytics platforms.
- Monitor system performance and troubleshoot issues.
- Collaborate with development and infrastructure teams.
Skills
IT operations experience
Problem-solving skills
Communication skills
Tools
AWS
Azure
Python
Shell
PowerShell
Key Responsibilities
- Provide daily operational support for analytics platforms and related infrastructure.
- Monitor system performance, troubleshoot issues, and ensure timely resolution of production incidents.
- Collaborate with development and infrastructure teams to implement fixes and enhancements.
- Support end users with application-related queries and technical issues.
- Maintain documentation for operational procedures, incident resolutions, and system configurations.
- Participate in deployment activities and post-deployment validations.
- Ensure adherence to SLAs and compliance standards.
Requirements
- 3–5 years of experience in IT operations, application support, or infrastructure support.
- Familiarity with data platforms, cloud environments (e.g., AWS, Azure), and monitoring tools.
- Basic scripting or automation skills (e.g., Python, Shell, PowerShell) is a plus.
- Strong problem-solving and communication skills.
- Ability to work in a fast-paced, data-driven environment.