The Maven Group's scientific research and engineering client in Raleigh, NC has an immediate opening for a Network Connectivity Software Engineer to join their talented and growing team. Most work will be onsite but our client is potentially open to some hybrid/remote option for ideal candidates.
Our client is a 45 year research and development company focused on tackling important, global issues. They offer a very solid benefit package featuring bonuses, professional development, and several types of retirement plans.
The chosen Engineer will used all of their past experiences to play a crucial role at our client developing software needed to evaulate and enhance defense and high-security networks. Akeen understanding of Tactical Data Link (TDL) messages and how they flow from system to system. You will be expected to use advanced algorithms and Machine learning to make these enhancements.
What You Will Need:
- US citizenship required
- The nature of work (i.e. interactions with the intelligence community and DoD programs) requires eligibility to apply for and hold a US security clearance; selected applicants will undergo a security investigation and must meet eligibility requirements at the time of employment
- BS in Computer Science, Electrical Engineering, or a related field with 5-7 years of relevant work experience OR MS with 3-5 years of relevant work experience
- Proven experience in network assessment, data analysis, and systems engineering within a defense or high-security environment
- Strong analytical skills, with the ability to decode complex information exchanges and identify critical data patterns
- Experience with programming languages (e.g., Java, Python, C++) for software development and data analysis
Get to the front of the line with skills/past experience like:
- Previous experience working with graph databases, SQL, and data visualization tools like Grafana
- Familiarity with military communication standards, Tactical Data Links (COT, VMF, Link-16, etc)
- Deep understanding of data pipeline tools and frameworks (e.g., Apache Kafka, Apache Spark, Apache Airflow) and containerization technologies (e.g., Docker, Kubernetes)
- Demonstrated experience with Machine Learning and Large-Language Models (LLMs)