Platform DevOps managing the Enterprise Data and AI Platform across AWS and Kubernetes. Implementing Infrastructure as Code with Terraform and maintaining CI/CD pipelines for secure solutions.
About the role
- Ingénieur fiabilité des infrastructures pour soutenir les services SaaS critiques. Collaborer, innover et optimiser la fiabilité et la performance des systèmes cloud sur AWS et Kubernetes.
Responsibilities
- Collaborate with other engineering teams to support services before they go live through activities such as systems design consultation, platform and software framework development, capacity planning, and launch reviews.
- Continuously innovate by identifying weaknesses, proposing creative solutions, and leading initiatives that simplify, scale, and harden the platform.
- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
- Ensure **optimized observability**: improve and expand monitoring and alerting using Datadog; define SLOs/SLIs and build actionable dashboards that drive reliability outcomes.
- Develop and promote automation: enhance internal tooling, IaC frameworks, and pipelines (Terraform, GitLab CI/CD) to reduce manual interventions and enable self-healing systems.
- Scale systems sustainably through automation and by driving changes that improve reliability and velocity.
- Practice sustainable incident management and blameless post-incident analysis. Lead post-incident reviews (RCA) and identify long-term fixes that improve stability, reliability, and developer experience.
- Implement monitoring, logging, alerting, and SLA reporting.
- Create and maintain technical documentation.
- Implement, maintain, and evolve SRE best practices.
- Act as **incident commander** during incidents: coordinate cross-team response, manage communications, and ensure rapid service restoration.
Requirements
- On-call rotation for incident escalation
- Occasional travel (quarterly on-site visits, conferences - less than 10%)
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