3 days ago
Lille, FranceSenior
Responsibilities
- Own significant portions of QIMA’s core infrastructure and evolve it into an engineering platform supporting business applications, operations applications, the internal AI platform, and shared services.
- Architect and evolve CI/CD pipelines and shared application services such as ingress, monitoring, alerting, and backup using GitOps practices.
- Design and implement infrastructure as code across cloud, network, and edge/security layers.
- Build self-service production paths, templates, golden paths, and developer tooling for product and operations teams.
- Build the AI agent platform, including hosting, context, tool access, guardrails, and evaluation.
- Extend platform practices to DataOps and MLOps pipelines, models, and agents.
- Participate in a biweekly on-call rotation and lead production incident response and root cause analysis.
- Operate the platform securely and audibly through secrets management, access controls, logging, and compliance practices.
- Use coding assistants and agentic workflows and embed AI-driven automation into deployment, monitoring, and operations.
- Provide technical direction, challenge existing practices, and mentor engineers on code quality, operational rigor, automation, and AI adoption.
Requirements
- 5+ years of experience in DevOps, Platform Engineering, or SRE roles.
- Production-grade experience using AI to build an AI harness with agents, tools, context, guardrails, and evaluation.
- Strong production experience with AWS, Terraform, and Kubernetes/EKS.
- Experience architecting and operating CI/CD pipelines using ArgoCD, Argo Workflow, CircleCI, and/or Jenkins.
- Experience carrying on-call responsibility for mission-critical systems.
- Strong expertise with monitoring and observability tools such as Grafana, ELK, and/or OpenSearch.
- Strong Linux fundamentals and working knowledge of network security.
- Deep understanding of microservice application architecture in cloud environments.
- Fluent English with strong written and verbal communication skills.
- Master’s degree in Computer Science, Engineering, or a related field, or 5+ years of equivalent professional experience.
- Experience with Vault or equivalent secrets management is preferred.
- Experience building internal platforms or developer tooling used by engineering teams is preferred.
- Comfort with questioning existing practices and proposing improvements is preferred.
Benefits
- Ownership of company-critical infrastructure, including the internal AI platform.
- AI-first environment with access to Cursor, Claude Code, and multiple LLM providers.
- Direct influence over technical direction and best practices across the TechOps team.
- Opportunity to work with an international team on high-impact platforms.
- Opportunity to build the engineering platform supporting QIMA’s business and operations applications.
Tech Stack
Categories
About QIMA
QIMA provides testing, inspection, certification, and compliance services that help brands, retailers, and manufacturers manage product quality and regulatory requirements across global supply chains. It sells audits, product inspections, lab testing, and digital tools for visibility and traceability in consumer goods, food, and life sciences markets. Founded in 2005 and headquartered in Hong Kong, the privately held company operates in 100+ countries and supports more than 30,000 customers.