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Alban Andrieu DevSecOps architecture diagram covering cloud, security, containers and AI engineering

Your trusted partner for AI and cloud

Services I offer

Practical DevSecOps and cloud work for leadership teams — 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 and 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 AI-assisted workflows for support, internal tools and operations.
  • Integrate OpenAI, Azure OpenAI and custom or hosted models.
  • Control cost and observability with tracing and guardrails.

Cloud architecture

Scalable, cost-efficient and secure foundations 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.
  • Processes and tools 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 for consistent environments.
  • Patterns for staging, production and multi-region setups.

Container orchestration

Run workloads portably from laptops to production clusters.

  • Kubernetes, Nomad and Docker; ingress, secrets and platform foundations.
  • Cloudflare and Vault integration where it reduces risk.

Monitoring and observability

Know when something breaks before your customers do.

  • Metrics, logs and traces with Prometheus, Grafana, Loki and OpenTelemetry.
  • Dashboards and alerts tuned to SLOs and on-call reality.

AI and MLOps infrastructure

Support for leaders who need AI in production — not only demos — with security and cost under control.

  • Design secure AI infrastructure for LLMs, RAG and GPU workloads.
  • Integrate OpenAI and Azure OpenAI with cost, safety and access guardrails.
  • Provide logs, traces and prompt analytics for AI workloads.
  • Design for ISO 42001, data residency and access-control requirements.

Technical expertise

A focused stack for cloud, DevSecOps, security and AI — full details in the CV and on request.

Security and compliance

Zero trust, WAF, hardeningSAST, DAST, OWASPVault, SIEMISO 27001 / 42001, SOC 2

Monitoring and logging

PrometheusGrafanaLokiOpenTelemetry

AI and data processing

Azure OpenAI / GPULangFuse, DVCFastAPI, MCPTemporal

Cloud platforms

AWSAzureOVHcloudCloudflare

Containers and orchestration

KubernetesDocker, HelmNomad, Rancher

Infrastructure as Code

TerraformAnsibleArgo CD

DevOps and SDLC

GitHub ActionsGitLab CIJenkins

Data stores

PostgreSQLElasticsearchVictoriaMetrics

Programming

PythonBashJava, C++

View all CV formats

Technologies and stack

A selection of technologies I use in production.

Languages and scripting

Web and frontend

Cloud, operating systems and infrastructure

Security

Databases, data and messaging

DevOps, observability and tooling

AI, machine learning and GPU