At least 6 years of experience writing production-grade C++ code.
5+ years in software development focused on scalable systems.
Proficiency in Linux, data structures, and algorithm design.
Strong experience with distributed systems and containerization (Kubernetes, Docker).
Familiarity with DevSecOps tools, CI/CD, and version control (Git).
Active TS/SCI clearance with polygraph required.
Responsibilities
Design and develop scalable software for distributed systems.
Integrate machine learning models to enhance signal processing.
Build and optimize containerized applications using Kubernetes.
Develop solutions for event-driven systems and large-scale data workflows.
Collaborate across teams to infuse data-driven insights into systems.
Prototype and iterate on innovative concepts to boost efficiency.
Adhere to agile practices and secure DevSecOps workflows.
Benefits
Access to state-of-the-art tools and resources.
Professional growth opportunities.
Collaborative work environment emphasizing teamwork and innovation.
Chance to work on impactful projects in security and defense.
Engagement in cutting-edge technologies to tackle real-world challenges.
Full Job Description
Senior Software Engineer
At Nightwing, we are on a mission to develop resilient and scalable systems that support critical missions. We're looking for a talented Software Engineer who excels at solving complex technical challenges and building high-performance solutions. In this role, you will collaborate with an innovative team to design cutting-edge systems using advanced technologies like distributed computing, machine learning, and AI-driven analytics.
This onsite role is based at our National Business Park, Maryland location.
About the Role:
As a Software Engineer at Nightwing, you will be responsible for creating systems that operate at scale, are reliable under demanding conditions, and incorporate advanced technical approaches. You will have opportunities to work on projects involving high-impact signal processing, adaptive algorithms, large-scale data pipelines, and real-time intelligence applications. You'll play a key role in building technologies that protect the nation's security and advance critical capabilities.
Responsibilities:
Design and develop software for distributed systems with scalability and performance optimization in mind.
Integrate machine learning models and AI-driven analytics to augment signal processing and network intelligence.
Build and optimize containerized applications (Kubernetes, Helm) and microservices architectures for operational efficiency.
Develop solutions for event-driven systems and large-scale data workflows using tools like Kafka and gRPC.
Work collaboratively across teams to incorporate data-driven insights into new and existing systems.
Prototype new concepts and iterate on innovative ideas to improve automation, efficiency, and system performance.
Maintain adherence to agile development practices and modern DevSecOps workflows with a focus on security and reliability.
Minimum Qualifications:
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics).
At least 6 years of experience writing production-grade C++ code.
5 or more years of software development experience, including designing and building scalable systems.
Proficiency in Linux-based development environments, data structures, and algorithm design.
Strong experience with distributed systems and containerized applications using technologies such as Kubernetes, Podman, or Docker.
Knowledge of DevSecOps tools and workflows, including CI/CD pipelines and version control systems like Git.
Active TS/SCI clearance with polygraph.
U.S. citizenship required.
Preferred Qualifications:
Experience working with event-driven architectures, messaging systems like Kafka, and APIs such as RESTful services or gRPC.
Knowledge of machine learning frameworks and their application to analyzing network traffic or signal processing.
Understanding of multithreading, parallel processing, and asynchronous programming techniques.
Familiarity with embedded systems and hardware/software integration.
Experience integrating and applying LLMs to existing workflows for force multiplication
