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Principal Software Engineer, Data Platform

Job in New York, New York County, New York, 10261, USA
Listing for: AppGate
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
Job Description & How to Apply Below
Location: New York

Principal Software Engineer, Data Platform

Job Category: United States

Requisition Number: PRINC
001300

Apply now

  • Posted :
    October 14, 2025
  • Full-Time
  • Hybrid
Locations

Showing 1 location

NY, NY 10019, USA

Description 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:

  • Network Policy Analyzer – understanding and optimizing network security policies.
  • Network Observability & Monitoring – real-time visibility into network health and performance.
  • AI Agents for Root Cause Analysis & Troubleshooting – self-learning systems to reduce time to resolution.
  • Threat Anomaly Detection & Breach Prediction – proactive defenses based on behavioral and contextual signals.
  • Insider Risk Detection – monitoring user behavior for signs of compromise or malicious intent.
  • Securing Agentic AI Systems – pioneering new approaches to safeguard autonomous AI agents.
What You’ll Do
  • Define and build the data platform
    :
    Design and implement scalable data pipelines, event streaming systems, and a centralized data lake to unify security data sources.
  • Enable AI products
    :
    Partner with AI researchers and product teams to operationalize ML/AI models on top of the data platform.
  • Shape architecture
    :
    Make foundational choices on tools, frameworks, and cloud infrastructure to ensure scalability, reliability, and compliance.
  • Lead and mentor
    :
    Guide engineers who are newer to modern data engineering and AI practices, helping them ramp up on cutting-edge technologies.
  • Drive clarity from ambiguity
    :
    Ask the right questions, identify gaps, and translate business goals into actionable technical roadmaps.
  • Influence company direction
    :
    Work closely with the CTO and leadership to align technical strategy with Appgate’s vision for AI-driven security.
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.
  • 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 with in 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…

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