General Atomics Integrated Intelligence Inc. (GA Intelligence) develops cutting-edge software solutions that transform raw data into actionable intelligence. We specialize in real-time global situational awareness and battle management, processing petabytes of data from hundreds of sources across air, land, and sea. Our systems-including the widely used THRESHER and DRAGONSPELL platforms-support tens of thousands of users at all levels of the DoD and Intelligence Community and enable critical decision-making for national security missions. 

We process hundreds of thousands of observations per minute, operating at the scale of global sensor networks and battlefield telemetry. Our backend architecture leverages technologies like Kafka, AWS, NiFi, and GeoMesa-the latter of which we designed and open-sourced-to deliver high-throughput, mission-resilient systems that turn streaming data into real-time intelligence. 

We’re seeking an experienced and people-focused Engineering Manager to lead and grow a software team building backend systems and analytics capabilities that power mission-critical applications. You’ll play a key role in shaping technical direction, mentoring engineering talent, and scaling the team’s ability to deliver high-impact outcomes.

This is a hands-on leadership role that involves balancing strategic direction with day-to-day coaching and execution. You’ll work closely with product managers, design leads, tech leads, and other stakeholders to ensure your teams ship high-quality, reliable software that supports real-world decision-making under pressure. 

DUTIES AND RESPONSIBILITIES: 

• Team Leadership: Manage a team of 3-5 software engineers, focusing on performance, growth, team cohesion, and delivery. 
• Execution and Delivery: Drive team accountability for timely, high-quality delivery. Remove blockers, manage priorities, and ensure clarity across teams. 
• Technical Oversight: Partner with tech leads to ensure sound software architecture, scalable backend systems, and robust analytics pipelines. 
• Cross-Functional Collaboration: Work closely with Product, Data Science, and other Engineering Managers to align goals and deliver value. 
• Continuous Improvement: Foster a culture of continuous learning, operational excellence, and adaptive process improvement across teams. 

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.