обновлено 2 дня назад
Software Engineer – Scalable Systems (AI)
99 000 - 206 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer – Scalable Systems (AI): Designing scalable, resilient software systems for mission-critical SIGINT operations with an accent on distributed computing, machine learning, real-time analytics, and cloud-native architectures. Focus on building large-scale data pipelines, optimizing microservices and containerized systems, and integrating secure AI-driven solutions for signal processing and network analysis.
Location: Onsite in Annapolis Junction, Maryland, United States
Salary: $99,000–$206,000 per year
Company
provides cybersecurity, data operations, systems integration, intelligence mission support, software modernization, and SIGINT solutions for intelligence, defense, civil, and commercial customers.
What you will do
- Design and develop scalable software systems for mission-critical operations.
- Apply machine learning models and AI-driven analytics to signal processing and network analysis.
- Optimize distributed computing, microservices, and containerized environments for scalability and reliability.
- Integrate real-time data-driven solutions into new and existing platforms with cross-disciplinary teams.
- Build and improve large-scale data pipelines, message brokering systems, and adaptive algorithms.
- Follow agile development, configuration management, and secure DevSecOps practices.
Requirements
- STEM degree in science, technology, engineering, or mathematics.
- Expertise in scalable and distributed systems, containerized environments, Kubernetes, Helm, Podman, and cloud-native architectures.
- Proficiency in modern programming languages such as C++ or Python and Linux-based development workflows.
- Knowledge of data structures, algorithm design, CI/CD automation, Git, and secure DevSecOps workflows.
- Active TS/SCI security clearance with polygraph is required.
- U.S. citizenship and onsite work in Maryland are required.
Nice to have
- Experience applying machine learning and AI models to network traffic, signal processing, or complex systems.
- Knowledge of event-driven systems, Kafka, RESTful APIs, or gRPC.
- Experience with microservices architecture, multithreading, parallel processing, asynchronous programming, embedded software, or hardware integration.
Culture & Benefits
- Work on mission-driven projects focused on national security and resilient systems.
- Use advanced tools for cloud computing, scalable architectures, machine learning, and real-time processing.
- Collaborate with engineers and service members in a creative, innovation-focused environment.
- Medical, vision, and dental insurance, 401(k), paid time off, holidays, and additional insurance coverage.
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