Software Engineer II; Data Pipelines & Event Processing

Job Location:

HQ - LEAWOOD, KS 66211, Position Type:
Full-Time - Clearance Eligible, Travel Percentage:
None, The world’s most consequential systems need the world’s best builders.

A new era is taking shape. AI is no longer confined to models or interfaces. It is becoming the foundation of how decisions are made across governments, industries, and real-world environments. What matters now is not just access to capability, but how it is applied, controlled, and sustained over time.

Torch.

AI builds a government-owned reasoning infrastructure which creates a Reasoning Layer to enable machine reasoning at scale, in environments where it is hardest to achieve and least tolerant of failure. This is not incremental software. It is long-term infrastructure designed to endure, integrate, and evolve alongside the systems it supports.

Not another dashboard. Not another workflow app. Not another black-box model glued to a PowerPoint.

The Reasoning Layer is a modular architecture where data is connected, governed, transformed, represented, fused, reasoned over, and delivered into mission applications and operational workflows. It does not replace systems of record. It enables them to function better together.

The Reasoning Layer is comprised of: ORCUS (ingestion, orchestration, governance), NEXUS (semantic representation, vectorization), HALO (graph-based fusion and reasoning) and various product and capability components deployed for specific customer use cases.

We are seeking candidates who approach problems creatively, are comfortable operating without full clarity, and take responsibility for outcomes, not just implementation.

If you’re driven to strengthen U.S. defense readiness and protect national interests, Torch.

AI offers meaningful impact at national scale.

This role focuses on building production-grade software systems that ingest, process, and enrich large volumes of real-world data to support mission‑critical decision making. You will develop scalable data pipelines and backend services that transform diverse, multi‑source information into structured, actionable insights.

The work emphasizes reliability, adaptability, and operational security. Systems are designed to run continuously, handle evolving data sources, and operate within controlled environments that require careful handling of access patterns, attribution, and compliance constraints.

• Design, build, and maintain backend services and pipelines that acquire and process data from diverse data sources.
• Develop automated data access workflows using APIs, web interfaces, and distributed systems while adhering to controlled access and usage constraints.
• Implement data transformation, enrichment, and normalization processes to support downstream analytics and mission applications.
• Build systems that monitor and respond to real‑world events by collecting, correlating, and updating relevant data streams.
• Develop data fusion capabilities that combine multiple sources to improve data completeness, context, and usability.
• Apply operational security practices to data acquisition and processing workflows, including controlled access patterns, traffic shaping, and protection of system and infrastructure.
• Implement safeguards that reduce attribution risk and ensure responsible interaction with external data sources.
• Collaborate with platform, data, and security teams to ensure systems meet compliance, auditability, and mission requirements.
• Optimize performance, scalability, and resilience of data acquisition and processing systems.
• Contribute to CI/CD pipelines, containerized deployments, and automated testing workflows.
• Troubleshoot production issues and perform root‑c.aus analysis across distributed systems.
• Documen…