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 is the only direct-routed ZTNA solution built for peak performance, superior protection and seamless interoperability. Appgate Cyber Advisory services harden your security posture and ensure business continuity. Appgate safeguards enterprises and government agencies worldwide.
As we expand our platform, we are building a Data + AI team to unlock the next generation of security solutions ranging from network observability to AI-driven threat detection, insider risk monitoring, and securing emerging Agentic AI systems.
This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the strategy, architecture, and core products that will define the future of security.
The Role
We are seeking Staff and Principal Engineers who thrive in ambiguity, excel at greenfield projects, and can serve as both architects and technical leaders. You will help us build the data foundation including large-scale data pipelines and a cloud-native data lake while also laying the groundwork for advanced AI systems that can work both on the AWS cloud as well as on prem cloud agnostic environments.
These hires will be the founding team engineers dedicated to this initiative, shaping the architecture, defining the stack, and setting engineering standards for a new core capability.
Your work will directly enable AI-driven security capabilities such as:
What You'll Do
What We're Looking For
Experience level: 8+ years in software/data engineering, with at least 3 years in a Staff, Principal, or Architect-level role.
Hands-on expertise in building distributed data systems (streaming, pipelines, ETL, batch + real-time processing).
Demonstrated ability to thrive as a self-starter, operating independently and owning delivery end-to-end.
Strong knowledge of cloud-native platforms (AWS, GCP, or Azure), containerization, and orchestration (Kubernetes).
Proficiency with modern data technologies such as Kafka, Spark/Flink, Elastic Search, Redshift, Delta Lake, dbt, etc.
Familiarity with AI/ML production workflows (feature stores, model deployment, monitoring).
Track record of leading ambiguous greenfield initiatives, shaping architecture, and mentoring teams.
Experience within the security domain (secure access, monitoring, threat detection, anomaly detection).
Comfortable in high-growth, ambiguous environments with minimal structure.
Based in New York City, available to work onsite 3-4 days/week at One Penn Plaza.
Why Appgate
Appgate is a dynamic, innovative, and friendly place to work. Whether it's taking ideas from our varied past experiences and applying them in different ways, or creating something completely new, we are all innovative team players who think big and want to make an impact. We strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to collaborate and contribute to the team.
If you're excited by the idea of building the Data + AI foundation of a next-gen network security company, we'd love to talk.