SRE DevOps / AI Automation (H/F) (IT) / Freelance
Free-Work · Paris, Île-de-France, France
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- On site
- Full-time
- $120,000 / year
- Paris, Île-de-France, France
Job highlights
- Senior SRE DevOps role with AI automation focus.
- Enhance AWS cloud platform reliability and performance.
- Automate incident response with AI agents and LLMs.
- Utilize Kubernetes, Docker, Terraform, Ansible, Helm.
- Collaborate across infrastructure and operations teams.
About the role
SRE DevOps AI Automation Consultant
We are seeking a Senior SRE DevOps consultant with strong AWS expertise and practical experience in automating incident remediation using AI agents. This role is part of a strategic program within a major luxury group, focusing on reliability, performance, and operational industrialization. The consultant will work on Site Reliability Engineering, advanced automation, observability, and production optimization, with a strong innovation dimension around LLMs and autonomous agents.
Responsibilities:
- Contribute to the reliability, stability, and performance of AWS cloud platforms.
- Design and implement automatic incident remediation mechanisms.
- Integrate AI agents into operational workflows, troubleshooting, and runbooks.
- Participate in setting up automation pipelines for monitoring, alerting, and incident management.
- Work on architectures and tools related to Kubernetes, Docker, Terraform, Ansible, and Helm.
- Collaborate with infrastructure, application, security, and operations teams to enhance overall service resilience.
- Contribute to the observability and operation of data from tools like Datadog, Dynatrace, New Relic, or Elastic.
- Support the industrialization of DevSecOps practices, access management, secrets management, and IAM topics.
Candidate Profile:
We are looking for a senior profile with solid SRE/DevOps experience in complex cloud environments, with imperative mastery of AWS. The consultant must also demonstrate significant experience in the following areas:
- Advanced automation of operations and incident remediation.
- AI agents, LLMs, RAG, agent orchestration, and automated workflows.
- Tools and frameworks such as LangChain, LlamaIndex, or AutoGen.
- Containerization and orchestration with Docker and Kubernetes.
- Infrastructure as Code and automation with Terraform, Ansible, and Helm.
- Strong development/scripting foundations in Python, Go, or Node.js.
- A strong culture of production, monitoring, reliability, and continuous improvement.
Experience in demanding environments with high service quality and responsiveness requirements will be particularly valued.
Key skills/competency:
- Site Reliability Engineering (SRE)
- DevOps
- AWS
- AI Automation
- Incident Remediation
- Kubernetes
- Docker
- Terraform
- Ansible
- Python
Skills & topics
- SRE
- DevOps
- AI Automation
- AWS
- Incident Remediation
- Kubernetes
- Docker
- Terraform
- Ansible
- LLM
- Consultant
- Freelance
- Cloud
- Automation
- IaC
- Python
- Go
- Node.js
- Observability
- DevSecOps
How to get hired
- Tailor your resume: Highlight AWS, SRE, DevOps, AI, and automation experience with specific achievements.
- Showcase AI/LLM skills: Detail projects using LangChain, LlamaIndex, AutoGen, and RAG for incident remediation.
- Emphasize production culture: Demonstrate your understanding of monitoring, reliability, and continuous improvement in complex environments.
- Prepare for technical interviews: Be ready to discuss AWS architecture, Kubernetes, IaC, and Python/Go/Node.js scripting.
- Articulate innovation: Explain how you've integrated AI into operational workflows for improved service resilience.
Technical preparation
Master AWS services thoroughly.,Practice Kubernetes, Docker, Terraform, Ansible.,Build AI agents with LangChain/AutoGen.,Script automation in Python/Go/Node.js.
Behavioral questions
Describe a complex incident you automated.,How do you ensure cloud reliability?,Share your experience with AI in operations.,How do you collaborate with diverse teams?
Frequently asked questions
- What is the primary focus of the SRE DevOps AI Automation Consultant role at Free-Work?
- The primary focus is on enhancing the reliability, performance, and stability of AWS cloud platforms through advanced SRE and DevOps practices, with a significant emphasis on automating incident remediation using AI agents and LLMs for a major luxury group.
- What are the key technical skills required for the SRE DevOps AI Automation Consultant position?
- Essential technical skills include strong AWS expertise, SRE/DevOps principles, advanced automation, AI agents/LLMs (LangChain, LlamaIndex, AutoGen, RAG), containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, Ansible, Helm), and scripting languages like Python, Go, or Node.js.
- What is the work arrangement for this SRE DevOps AI Automation Consultant freelance position?
- While the description doesn't explicitly state the work arrangement, 'Freelance' often implies flexibility. Given the strategic nature and potential for on-site collaboration, it could be hybrid or remote with specific on-site requirements. Clarification directly with the hiring manager is recommended.
- How does AI and LLM integration apply to this SRE DevOps role?
- AI and LLMs are central to this role, specifically for designing and implementing automated incident remediation workflows, troubleshooting assistance, and proactive operational management. This involves integrating agents into runbooks and operational processes.
- What kind of company is this SRE DevOps AI Automation Consultant role supporting?
- This role supports a major group within the luxury sector, indicating a demanding environment that requires high standards of reliability, performance, and continuous innovation.
- What development experience is expected for the SRE DevOps AI Automation Consultant at Free-Work?
- Candidates are expected to have good development or scripting skills in Python, Go, or Node.js, enabling them to contribute to automation pipelines and integrate AI components effectively.