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# Staff Software Engineer, Data Platform

- **Company:** IMMUNITY FEDERAL SERVICES, LLC
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Networks, Information Engineering, Data Infrastructure, Data Systems, Elasticsearch, Monitoring of Systems, Intrusion Detection and Prevention, Network Security, Machine Learning, Cloud Services, Feature Store, Cloud Platform System, Apache Spark, Agentic-AI, Containerization, Data Lakes, Kubernetes, Apache Flink, Apache Kafka, Machine Learning Operations, Data Pipelines, Amazon Redshift
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_3894fdbfad59b4a9eb4b9265b1a5c10d

## About the Role

* 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 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.

## Description

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., * 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.