AI Operations Engineer (Platform Modernization) - WFH & Nightshift

Eclaro Business Solutions, Inc; Metro Manila; Remote; PHP 900,000 - 1,300,000; Full time

Job summary

Eclaro Business Solutions, Inc is seeking an AIOps Engineer, Platform Modernization to shift repetitive operational work to automation using AWS and AI tools. You will partner with IT Operations and Call Center leadership to identify automation opportunities and build them into executable workflows for AI agents and humans.

You will bring production support, incident response, and monitoring experience to guide automation scoping, and document decisions for long-term ownership across the Connect

Qualifications

• Bachelor's degree in an IT-related field or equivalent professional experience.
• AI-first mindset driving automation, modernization, and operational improvement.
• Experience in IT or cloud operations with production support and monitoring.
• Strong understanding of what makes a workflow worth automating and how to scope that work.
• Hands-on knowledge of core AWS services and how they function.
• Experience using AI tools to build or support workflow automations.
• Experience with observability/monitoring platforms (Datadog, CloudWatch).
• AWS certification preferred (Solutions Architect, SysOps Administrator, or higher).

Responsibilities

• Collaborate with IT Operations, Call Center, and Service Desk teams to identify pain points and workflows with strong automation potential
• Convert manual operational runbooks into executable workflows that AI agents and humans can both run
• Use AI tools (Claude Code, Bedrock, ChatGPT, or similar) to build, test, and refine automations
• Bring AWS knowledge to the automation process, using that judgment to vet AI-generated work, keeping aligned with best practices
• Support automated callback flow optimization and AI agent building within the Connect environment
• Draw on production support, incident response, and monitoring experience to shape how automations are scoped and prioritized
• Document automation logic and decisions to support long-term ownership and knowledge transfer

Skills

Automation

AWS knowledge

Incident response

Operational monitoring

Scripting

AI tools

Datadog/CloudWatch

AWS certification

Amazon Connect experience

Education

Bachelor's degree in IT or related

Tools

Claude Code

Bedrock

ChatGPT

Datadog

CloudWatch

AWS Console

Job description

About the role

The AIOps Engineer, Platform Modernization builds the subagents that shift repetitive operational work from humans to automation, with an initial focus on Amazon Connect, the back end for both the call center and Service Desk, which together are driving the shift to agentic service delivery. Partnering with IT Operations and Call Center leadership, this role identifies the manual workflows worth automating and builds them out using AWS and AI tools such as Claude Code and Bedrock. The role brings an operator's eye to the build process: production support, incident response, and monitoring experience inform what gets automated and how, so automation lands where it actually reduces load, and expands to new workflows as confidence grows.

Key responsibilities

• Collaborate with IT Operations, Call Center, and Service Desk teams to identify pain points and workflows with strong automation potential

• Convert manual operational runbooks into executable workflows that AI agents and humans can both run

• Use AI tools (Claude Code, Bedrock, ChatGPT, or similar) to build, test, and refine automations

• Bring AWS knowledge to the automation process, using that judgment to vet AI-generated work, keeping aligned with best practices

• Support automated callback flow optimization and AI agent building within the Connect environment

• Draw on production support, incident response, and monitoring experience to shape how automations are scoped and prioritized

• Document automation logic and decisions to support long-term ownership and knowledge transfer

About you

• Bachelor's degree in an IT-related field or equivalent professional experience

• An AI-first mindset, leveraging AI tools to drive automation, modernization, and operational improvement

• Experience in IT or cloud operations, with a strong focus on production support, operational monitoring, and automation

• Strong understanding of operational priorities: what makes a workflow worth automating and how to scope that work

• Deep experience using automation and scripting to support operations, incident remediation, and routine maintenance, both hand-built and AI-assisted

• Hands-on, working knowledge of core AWS services and how they function

• Experience using AI tools (Claude Code, Bedrock, ChatGPT, or similar) to build or support workflow automations

• Experience using observability and monitoring platforms (Datadog, CloudWatch, or equivalent) to detect, diagnose, and improve

• AWS certification (Solutions Architect, SysOps Administrator, or higher) preferred

• Experience with telephony or contact center platforms, particularly Amazon Connect, is a plus but not required