Platform Engineer
Core
Design, build, and optimize cloud infrastructure, CI/CD pipelines, and deployment processes for a global data and AI platform handling high-scale media spend and AI workloads.
Role type
Mid-level Data Platform Engineer (IC)
Builds
Scalable cloud-native systems, multi-account/cross-cloud environments, containerized data workloads, and microservices on AWS or GCP.
Domain
AdTech / Media Intelligence / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Cloud platforms (AWS/GCP), Infrastructure as Code (Terraform), Kubernetes, CI/CD pipelines, scripting (Bash/Python), observability (Datadog/Prometheus/Elastic), networking concepts, security/compliance (GDPR)
Preferred skills
Golang, multi-region distributed systems, data-intensive/AI/ML platforms
Technologies
Amazon Web Services, Google Cloud Platform, HashiCorp Terraform, Docker, Kubernetes, GitHub Actions, GitLab CI/CD, Argo Workflows, Datadog, Prometheus, Elastic stack
Responsibilities
Design scalable cloud-native systems for Spark and AI workloads; Implement IaC for secure multi-account environments; Optimize cost efficiency and latency; Deploy and manage Kubernetes clusters; Implement blue/green and canary deployment strategies; Build robust automations for testing and compliance; Enforce DevOps principles via code reviews and documentation.
Seniority
Mid-Level, hands-on IC
