Lead DevOps Engineer
Pubblicato il 15-09-2026 - Point Wild in Italia
Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride
We’re looking for a Lead DevOps Engineer to architect, automate, and lead our cloud infrastructure and continuous delivery strategy on Google Cloud. In this role, you will own the reliability, scalability, and security of our production environments, ensuring zero-downtime operations and seamless deployment pipelines.
You will drive our DevOps practices forward by codifying infrastructure, automating release management, and enforcing strict security and compliance standards. We are a high-trust, outcome-focused team that moves quickly to solve complex, large-scale infrastructure and operational challenges on GCP.
Core Responsibilities:
- GCP Infrastructure & Architecture: Architect, deploy, and manage highly available, fault-tolerant cloud infrastructure across Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE).
- Infrastructure as Code (IaC): Maintain and scale declarative infrastructure using Terraform across a multi-hundred-file estate, enforcing GitOps workflows with Atlantis.
- CI/CD Pipeline Automation: Build, maintain, and optimize robust automated pipelines for continuous integration and delivery using GitHub Actions, Jenkins, and ArgoCD.
- Networking & Traffic Management: Manage enterprise networking perimeters, service mesh architectures (Istio mTLS, VirtualServices), and API Gateways (Kong) for secure ingress, egress, and microservices traffic.
- System Observability & Reliability: Implement comprehensive telemetry, log aggregation, and alerting to ensure high availability, optim