AI-Driven AIOps Platform Modernization Engineer

Hammerjack Pty Ltd; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Hammerjack Pty Ltd seeks an AIOps Engineer, Platform Modernization, to shift repetitive tasks to automation using AWS and AI tools, starting with Amazon Connect. You will partner with IT Operations and Call Center leadership to identify and build automated workflows that reduce manual effort and improve service delivery.

The role emphasizes production support, incident response, and monitoring to ensure automation lands where it truly reduces load and scales to new workflows as confidence grows.

Qualifications

• Bachelor’s degree in an IT-related field or equivalent professional experience.
• AWS certification (Solutions Architect, SysOps Administrator, or higher) preferred.
• Experience in IT or cloud operations with a focus on automation and monitoring.

Responsibilities

• Collaborate with IT Operations, Call Center, and Service Desk to identify automation opportunities.
• Convert manual runbooks into executable AI-enabled workflows.
• Use AI tools (Claude Code, Bedrock, ChatGPT) to build, test, and refine automations.
• Apply AWS knowledge to vet AI-generated work and align with best practices.
• Support automated callback flow optimization within the Connect environment.
• Leverage production support and monitoring experience to scope and prioritize automations.
• Document automation logic for long-term ownership.

Skills

AI mindset

Automation experience

Production support

Monitoring

Scripting

Incident remediation

Education

Bachelor's degree in IT or related field

AWS certification preferred

Tools

Datadog

CloudWatch

AWS services

Job description

Hammerjack Pty Ltd seeks an AIOps Engineer, Platform Modernization, to shift repetitive tasks to automation using AWS and AI tools, starting with Amazon Connect. You will partner with IT Operations and Call Center leadership to identify and build automated workflows that reduce manual effort and improve service delivery.

The role emphasizes production support, incident response, and monitoring to ensure automation lands where it truly reduces load and scales to new workflows as confidence grows.