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Devops Engineer - AI/Data Ops

Opus Recruitment Solutions
Sydney, NSW
A$900-$1,100 p/d
Information & Communication Technology → Other
Contract
Hybrid

Posted 2 days ago


SENIOR AWS DEVOPS ENGINEER – AI OPS/DATA OPS

  • 6-month contract
  • Greenfield project within enterprise client
  • Sydney office – 2days/week Hybrid working

THE ROLE

A large-scale enterprise client is searching for an AWS devops engineer with exposure to ai/data ops to join their project team for an initial 6-month period. In this project you will be preparing and managing an environment for an exciting POC style project to be built by the wider team.

RESPONSIBILITIES

  • Build and maintain Dev→Pre-Prod→Prod pipelines for AI Ops components
  • Automate deployment of chatbot UI, Lambda-based auto-actions, and Bedrock endpoints
  • Ensure observability for all components (AI models, data pipeline, agent actions)
  • Support model retraining, scaling, and version control
  • Integrate notifications and ticketing with ServiceNow, Slack, and Teams
  • Independently manage environment setup, deployment gates, rollback plans
  • Comfortable working in embedded or hybrid delivery models
  • Participate in RCA reviews and feedback-driven improvement loops

YOU WILL HAVE

  • Strong DevOps experience in AWS-based AI or data environments
  • Proficient in AWS CodePipeline, CodeBuild, ECR, ECS Fargate
  • Hands-on with Lambda automation, CI/CD workflows, and microservice orchestration
  • Experience with monitoring/logging tools: CloudWatch, CloudTrail, Prometheus
  • Proactive mindset; takes ownership of pipeline reliability
  • Strong troubleshooting and incident response skills
  • Comfortable communicating in high-stakes technical environments

This is an exciting opportunity to be part of a large – scale project from the ground up. If you are interested, please apply today and lets chat!


About Opus Recruitment Solutions

Brisbane, QLD, Australia

This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.

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