Principal Platform Engineer

Point Wild is a cybersecurity company backed by WndrCo, Warburg Pincus, and General Catalyst, focused on creating a comprehensive portfolio of cybersecurity solutions to protect identities and personal information in the digital world.

• 8-10+ years in DevOps/Platform Engineering, with at least 2 years operating and maintaining production ML workloads.
• Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, ArgoCD).
• High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (Kong).
• Expert-level Terraform skills using Atlantis/GitOps workflow.
• Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS).
• Experience operating Airflow in production and ML-serving stacks (Triton, vLLM, MLflow).
• Comfortable managing Cloud SQL (PostgreSQL), BigQuery, Elasticsearch, and ClickHouse.
• Upper-intermediate level of spoken and written English.

Nice to have:

• Experience with continuous monitoring of model accuracy and detecting data/concept drift.
• Experience with Ansible for cluster bootstrap and recovery.
• Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications.
• Familiarity with Loki, Grafana, or managing ClickHouse at scale.

• Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads.
• CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow.
• Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production.
• Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation.
• ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts.
• Deploy tools that empower individual teams to monitor their workloads.
• Participate in on-call rotation and help manage posture to ensure compliance with standards such as SOC.

Please be informed that the data controller is Point Wild (hereinafter "controller"). You have the right to request access to your personal data, their rectification, erasure or restriction of processing, the right to object to processing, as well as the right to data portability and to lodge a complaint to the supervisory authority. Personal data will be processed for the purpose of the recruitment process. Provision of data to the extent resulting from the Act of 26 June 1974 Labour Code is mandatory. In the remaining scope, providing data is voluntary. Refusal to provide mandatory data may result in the impossibility to carry out the recruitment process. The Administrator processes mandatory data on the basis of a legal obligation incumbent upon him/her, while with regard to additional data, the basis for processing is consent. Personal data will be processed until the recruitment procedure is completed and for the period of the possibility of asserting potential claims, and in the case of consent to participate in future recruitment procedures - until the withdrawal of such consent. Consent to the processing of personal data can be withdrawn at any time. The recipient of the data is the Just Join IT service and other entities to whom we have entrusted the processing of data in connection with recruitment.