DevOps / AI & IT Automation Engineer
Role details
Job location
Tech stack
Job description
We are seeking a Senior DevOps / AI & IT Automation Engineer to lead the design and implementation of AI-driven automation across enterprise IT, security, and business workflows. This role is ideal for someone who can bridge strategy and execution-evaluating AI proof-of-concepts (POCs), identifying real automation opportunities, and delivering production-ready solutions. You will work alongside existing DevSecOps teams (supported by Capgemini) and focus on advancing automation strategy, orchestration, and AI integration., 1. AI & Automation Strategy
-
Evaluate current AI tools and POCs to determine production viability
-
Identify automation opportunities across IT, security, and business teams
-
Design and develop internal AI agents to support operational workflows, * Develop and implement automation within Azure environments
-
Automate infrastructure, security, and operational workflows
-
Collaborate with DevSecOps teams and extend existing automation frameworks, * Use n8n (or similar orchestration tools) to manage workflows across platforms
-
Integrate systems such as: o SIEM / security tools o ITSM / ticketing platforms o AI models and agents
-
Enable seamless data flow, decision-making, and automated responses
- Security Automation & SOAR
-
Build and automate workflows across security platforms, including: o SIEM (e.g., Splunk) o Endpoint security tools (e.g., CrowdStrike) o SOAR platforms (e.g., Swimlane)
-
Develop automated runbooks such as: o Triggering tickets from SIEM alerts o Enriching alerts using AI (ChatGPT / Claude) o Automating incident response actions
Requirements
Automation & Orchestration
- Strong hands-on experience building and deploying automation workflows
- Experience with n8n or similar orchestration platforms
- Expertise in API integrations across enterprise systems
Cloud & Infrastructure
- Strong working knowledge of Microsoft Azure
- Experience automating cloud infrastructure, security, or IT operations, o SIEM tools (e.g., Splunk) o Endpoint security platforms (e.g., CrowdStrike) o SOAR tools and incident response automation o ITSM platforms (e.g., ServiceNow)
AI & LLM Integration
- Hands-on experience with ChatGPT, Claude, or similar LLMs
- Ability to embed AI into workflows for: o Data summarization o Classification and enrichment o Intelligent decision-making
Communication & Collaboration
- Ability to work with both technical teams and business stakeholders
- Strong skills in translating business requirements into automation solutions, * Senior DevOps or Automation Engineer with AI integration experience
- Strong background in API integrations + workflow automation + cloud platforms
- Experience working in enterprise-scale environments