Services I Offer
Practical DevSecOps and cloud work for leadership teams — less jargon, recent outcomes on AWS, Azure and OVH.
Security integration
Make security part of development — not a late surprise before release.
- Automated security scans in CI/CD (SAST/DAST, dependency checks).
- Vulnerability management for cloud and applications.
- Support for ISO 27001 / SOC 2 readiness and audits.
AI integration
Turn LLMs into production-grade assistants — safely and cost-aware.
- Design of AI-assisted workflows (support, internal tools, ops).
- Integration with OpenAI / Azure OpenAI and custom or hosted models.
- Cost control and observability (e.g. LangFuse, tracing, guardrails).
Cloud architecture
Scalable, cost-efficient and secure landings on AWS, Azure or OVHcloud.
- Multi-account design, networking and hardening.
- Cost optimization, monitoring and operational clarity.
- High availability, backup and disaster-recovery patterns.
DevOps transformation
Faster, repeatable delivery without burning out the team.
- End-to-end SDLC pipelines and release automation.
- Process and tooling choices aligned with your risk profile.
- Hands-on enablement so your engineers own the stack.
Infrastructure as Code
One source of truth for infrastructure — reviewable and reproducible.
- Terraform, Ansible and GitOps (e.g. Argo CD) for consistent environments.
- Patterns for staging, production and multi-region setups.
Container orchestration
Run workloads portably from laptop to production clusters.
- Kubernetes, Nomad, Docker; ingress, secrets and platform basics.
- Edge and platform glue (e.g. Cloudflare) where it reduces risk.
Monitoring & observability
Know when something breaks before your customers do.
- Metrics, logs and traces (Prometheus, Grafana, Loki, OpenTelemetry, ELK-class stacks).
- Dashboards and alerting tuned to SLOs and on-call reality.
Engagement models
Daily rate : 750 € à 790 € (day rate, ex. VAT)
- Fractional DevSecOps / cloud architect — typically 1–3 days per week.
- Short audits and assessments — often 2–4 weeks for architecture, security or CI/CD.
- Project-based delivery — defined scope (e.g. migration, compliance sprint, platform build).
Pricing & engagement options — how retainers, audits and projects are usually structured.
AI & MLOps infrastructure
Explicit support for leaders who need AI in production — not only demos — with security and cost under control.
- Design of secure AI infrastructure (LLMs, RAG, GPU-backed workloads).
- Integration with Azure OpenAI / OpenAI with cost, safety and access guardrails.
- Observability for AI workloads — logs, traces, prompt analytics where appropriate.
- Compliance-aware design (e.g. ISO 42001, data residency, access control) aligned with your policies.
Technical expertise
High-signal stack for cloud, DevSecOps, security and AI — full detail in the CV and on request.