Offre d'emploi Architecte technique senior AWS/Terraform/Devops (8 ans d'expérience min.)

Nous recherchons pour un de nos clients dans le secteur de la finance de marché un(e) architecte technique senior AWS Devops pour une mission de longue durée.

Descriptif de mission en anglais :

Mission

The customer’s Platform Engineering team is at the core of delivering our products by providing a reliable, secure, and scalable cloud platform. As a Senior DevOps Engineer (AWS/Terraform), your mission is to design, industrialize, and operate the platform and tooling that enable teams to build, deploy, and evolve their applications quickly and safely on AWS.

Key tasks

In this mission of Senior Cloud Data Platform Engineer, you will have the following tasks:

• Design and develop advanced, reusable Terraform modules (networking, security, compute, data, edge) aligned with robust architectural standards and AWS best practices.

• Evolve a multi-account (AWS Organizations, Control Tower/SCPs, governance, identities) to provide a secure, scalable deployment framework.

•  Define infrastructure and application blueprints (“golden paths”) for containerized (EKS/ECS/Fargate), serverless (Lambda), and traditional (EC2/ASG) workloads, including networking, observability, and security.

• Build and maintain CI/CD pipelines for infrastructure and applications (Jenkins/GitLab CI), including testing, policy-as-code (OPA/Conftest), security (tfsec/Checkov), and automated plan/apply (Atlantis/Spacelift/Terraform Cloud).

• Operate and harden the platform: monitoring/alerting/logging/tracing (CloudWatch, OpenTelemetry, Prometheus/Grafana, OpenSearch, Datadog), SLI/SLO definition, capacity management, backups and disaster recovery.

• Secure the environment: least-privilege IAM, KMS, Secrets Manager, patching, secret management (SOPS), IaC/image scanning.

• Manage Terraform at scale: remote state (S3 + DynamoDB locking), versioning strategy, module lifecycle, multi-environment patterns, drift detection/remediation.

• Support teams migrating on-prem workloads to AWS: assessments, pattern selection, template adoption, tooling, and coaching for self-service.

• Identify and automate repetitive tasks (Bash/Python tooling, Terraform automation, or AI copilots) to accelerate deployments and migrations.

• Contribute to L2/L3 support, incident management and post-mortems; produce clear documentation and ensure knowledge transfer