Infrastructure Automation Engineer (AIOps)_Contract
Summary
Designs and builds AI-driven automation for IT operations, using Python or LangGraph to create self-healing systems, predictive alerts, and CI/CD integrations in a cloud environment.
Develop and roll out new observability and automation solutions, driving increased demand for development capacity for Site Reliability Engineering (AIOps and Agentic AI).
Responsibilities:
AIOps & Agentic AI Engineering
• Develop Python and/or LangGraph scripts and agentic AI workflows to automate operational tasks, diagnostics, and remediation.
• Build and integrate AIOps capabilities for predictive alerting, anomaly detection, and intelligent event correlation across infrastructure and applications.
• Design and operationalise agentic AI solutions that augment incident response and reduce manual intervention.
• Develop self-healing and auto-remediation workflows driven by AI/ML and event correlation insights.
Infrastructure Automation and CI/CD
• Develop infrastructure automation to provision, configure, and manage systems in a consistent, auditable manner.
• Manage automation and AI code through GitHub, applying version control, code review, and collaboration best practices.
• Integrate AIOps and automation components into CI/CD pipelines for continuous testing, validation, and deployment.
Observability, Reliability & Collaboration
• Implement observability and event correlation across metrics, logs, and traces to enable proactive reliability management.
• Champion SRE frameworks and reliability practices, embedding AIOps into the delivery lifecycle.
• Collaborate with Application, Infrastructure, Cloud, and Cyber teams to enable predictive incident prevention and root-cause transparency.
Maintain documentation and runbooks, and mentor engineers on AIOps and automation best practices.
Requirements:
• Possess a degree in Computer Science/Information Technology or related fields.
• Hands-on scripting experience with AIOps and Agentic AI - either Python or LangGraph (both languages will be a strong advantage).
• Strong experience in Python and/or LangGraph scripting experience applied to AIOps and Agentic AI.
• Proven experience in using GitHub and CI/CD pipelines.
• Possess infrastructure automation development experience.
• Possess observability and event correlation experience.
• A good team player with excellent written and verbal communication skills, and strong interpersonal skills to coordinate across diverse stakeholders and vendors.
• Certification in the following areas will be advantageous:
o Python Certified Expert / relevant AI/ML certification
o AWS Certified DevOps Engineer / Azure DevOps Expert
o GitHub Actions / CI/CD certification
o Site Reliability Engineering Foundation / Practitioner (DevOps Institute)
o ITIL v4 Foundation