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Generalist senior title plus mid-level experience amplifies applicant competition for a lesser-known brand.
Core fullstack technical skills transfer across industries, though defense domain adds moderate specialization.
Mandatory 5+ years and specific stack requirements impose moderate filtering.
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Own design and implementation of backend and frontend components for a high-throughput, real-time data processing and visualization application.
Develop backend services and APIs ingesting and analyzing large volumes of sensor and signal data with low latency using Kafka and Redis.
Mentor junior engineers and collaborate cross-functionally with data scientists, electronics engineers, and UI/UX designers to deliver real-time data systems and interactive visualizations.
Bachelor's degree in Computer Science, Electronics, or related field, or equivalent experience.
Minimum 5 years professional experience in software engineering with focus on data-driven and real-time applications.
Proficiency in at least one modern backend language (e.g., C++, C#, Python) and strong experience building data-intensive frontend apps with React and TypeScript.
Hands-on experience with Kafka (or similar), Redis, relational databases (PostgreSQL or equivalent), Linux environment, containerized deployment (Docker), and unit/integration testing frameworks.
Experienced individual contributor comfortable working end-to-end on full-stack systems handling large-scale, real-time sensor data workflows.
Strong technical focus on performance optimization, scalable distributed systems, and interactive data visualizations.
Ability to mentor juniors and thrive in cross-disciplinary teams involving signal processing, telemetry, and UI/UX collaboration.