AI-Driven Cloud Operations Engineer

RAPSYS TECHNOLOGIES PTE. LTD.

Singapore

On-site

SGD 60,000 - 90,000

Full time

3 days ago

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Job summary

RAPSYS TECHNOLOGIES PTE. LTD.

is seeking an Operations Engineer to monitor production and non-production environments, drive performance improvements, and coordinate incident resolution across internal teams and vendors. You will work with application teams, solution architects, and security consultants to implement improvements, set up AWS Quick environments for AI use cases, and ensure 24/7 support with robust automation and ITSM practices.

Qualifications

Bachelor's degree in CS/IT or related field.
Proven experience as an Operations Engineer or similar IT operations role.
Experience with change and incident management workflows and ITSM tools such as AWS Quick, Zendesk, or ServiceDesk.
Experience implementing security and access controls for privileged access to test and production environments.
Experience with full-stack monitoring using APM tools; CloudWatch or similar cloud-native monitoring is preferred.
Experience identifying and implementing process automation to minimise downtime and human errors; Terraform/Ansible experience is preferred.
Experience with Agile methodologies, DevOps pipelines, test-driven development, and information security practices.
Experience managing cloud infrastructure/services such as AWS, Azure, or Google Cloud is preferred.
AWS ecosystem and AI application development experience, including RAG, tool calling, workflow automation, and data lakes, is highly advantageous.
Strong problem-solving and communication skills, with the ability to explain complex technical issues to non-technical teams.
Resourceful, collaborative, and able to develop innovative solutions using new technologies.

Responsibilities

Monitor and analyse production and non-production environments to ensure optimum system performance and identify continuous improvement opportunities.
Work with application teams, solution architects, security consultants, and other teams to implement improvement plans.
Work with business users to set up AWS Quick environments to support AI use cases.
Manage application and security incidents, perform problem determination, and coordinate resolution with internal teams and vendors within SLA.
Provide reporting and escalation to senior management or incident committees when required.
Develop operations and process guides covering system configuration, processes, and service records, ensuring audit compliance.
Manage daily operations, analyse statistics, prepare status/progress reports, and present findings to stakeholders and management.
Manage operations teams comprising staff and vendors, ensuring 24/7 support availability.