
51 - 200 employees
đ Cybersecurity
âď¸ SaaS
đ˘ Enterprise
Cybersecurity ⢠SaaS ⢠Enterprise
Point Wild is a leader in online security, providing innovative solutions for consumer identities and endpoint protection. The company focuses on delivering robust security technologies that safeguard both individual users and enterprises from data breaches and privacy incidents. Through its various brands, Point Wild offers services such as VPN and Antivirus solutions, which have been widely adopted and downloaded by millions, ensuring privacy and protection in today's digital landscape.
đ May 13
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
đ Cybersecurity
âď¸ SaaS
đ˘ Enterprise
Cybersecurity ⢠SaaS ⢠Enterprise
Point Wild is a leader in online security, providing innovative solutions for consumer identities and endpoint protection. The company focuses on delivering robust security technologies that safeguard both individual users and enterprises from data breaches and privacy incidents. Through its various brands, Point Wild offers services such as VPN and Antivirus solutions, which have been widely adopted and downloaded by millions, ensuring privacy and protection in today's digital landscape.
⢠Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes. ⢠Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow. ⢠Implement observability tools to track model drift, accuracy, latency, and performance degradation in production. ⢠Collaborate between data engineers, ML engineers, Backend and Frontend engineers. ⢠Implement comprehensive monitoring for system health and ML-specific metrics for long-term model reliability. ⢠Deploy tools that empower individual teams to monitor their workloads. ⢠Participate in on-call rotation and manage compliance posture with standards such as SOC.
⢠8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience operating and maintaining production ML workloads. ⢠Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize). ⢠High proficiency with Istio and API Gateways (Kong). ⢠Expert-level Terraform skills using an Atlantis/GitOps workflow. ⢠Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS). ⢠Experience operating Airflow in production and an ML-serving stack (Triton, vLLM, MLflow). ⢠Comfortable managing Cloud SQL (PostgreSQL), BigQuery, Elastricsearch, or ClickHouse. ⢠At least an upper-intermediate level of spoken and written English.
⢠Solve real customer problems. ⢠See your impact. ⢠Accelerate your career. ⢠Opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment. ⢠Work with other talented people at a company where people matter.
Apply Now