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Staff / Principal DevOps Engineer Location: New York City | Hybrid Department: AI Platform & Infrastructure Team Reports to: Principal Engineering Manager About AppGate AppGate secures and protects an organization’s most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at appgate.com. About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate’s AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a  Staff or Principal DevOps Engineer  to design and build the deployment vehicle of our cloud and AI infrastructure, set the standards the rest of the team will build on, and grow the surrounding engineers into a capable platform team. You'll make the foundational decisions — cloud architecture, IaC conventions, CI/CD, observability, on-call — and then codify them so they scale beyond you. Equally important, you'll be the DevOps mentor for a team that doesn't yet have deep expertise in this area: you multiply your impact by levelling up the engineers around you, not by being the only person who can operate the system. You should be genuinely excited by a blank slate, comfortable owning ambiguity, and just as happy writing the Terraform as you are drawing the architecture and teaching someone else to extend it. Key Responsibilities Build the Platform: Design, implement, and maintain CI/CD pipelines and self-service tooling from a greenfield starting point, enabling product teams to build, test, and deploy safely and quickly with automated guardrails, rollbacks, and paved paths. Stand up and operate container orchestration with Docker and Kubernetes, including self-managed, stateful technologies (e.g. Kafka, Elasticsearch) running reliably in production. Infrastructure as Code: Automate infrastructure provisioning and configuration management using Terraform and Helm, with reusable modules and patterns others can safely build on. Observability from day one:  Instrument monitoring, logging, and alerting across services and infrastructure using tools such as Prometheus, Grafana, and the ELK stack (Elasticsearch, Logstash, Kibana); define the SLOs, error budgets, and operational health metrics the team will trust. Security Best Practices: Implement security best practices across infrastructure and deployment workflows — secrets management, least-privilege access, certificate and key management, vulnerability remediation, and secure-by-default configuration — fitting for a company whose product is security. Mentor and level up the team:  coach engineers who are strong but new to DevOps/infra, run design reviews, pair on hard problems, write the docs and playbooks, and deliberately transfer expertise so the team can own and evolve the platform without depending on any one person. Operationalize AI/ML: Build the MLOps foundation for AppGate's AI products — model serving and inference pipelines, model deployment, versioning, and drift monitoring, and the experiment-tracking and lifecycle tooling (e.g. MLflow, Kubeflow, SageMaker) that lets data scientists ship models safely and repeatably. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate’s strategic vision. Required Qualifications Experience: ext