Senior Software Engineer

Absolute Business Solutions Corp (ABSC) is not just another tech company. We’re a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years we’ve supported critical Department of Defense (DoD), Intelligence Community (IC), Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, AI/ML, and Data Science fields. As we continue to grow at a rapid pace, we need some amazing new professionals to join our team.

ABSC has an exciting opening for you, as our next TS/SCI cleared Senior Software Engineer, to play a critical role with design, engineering, development and deployment of software supporting DIA’s National Digital Exploitation and OSINT Center (NDOC) under our 10-year DOMEX Technology Platform (DTP) contract. You will be delivering cutting edge capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client

Responsibilities:

You will work closely with the team on the following key tasks:

• Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a data discovery platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
• Work on evaluating and testing emerging AI/ML solutions to complex multi-modal data problems.
• Support multiple simultaneous mission objectives and take open-ended or high-level guidance to independently and collaboratively research and develop tools that support information consolidation and discovery.
• Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
• Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement

Requirements:

To be successful in this role you need:

• B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 12+ years of experience or Master’s Degree or equivalent graduate degree including certificate-based advanced training courses with 10+
• 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes.
• Must have an active TS/SCI clearance and must be able obtain and maintain a Polygraph
• Must have proficiency in Python programming language.
• Experience working with a hybrid team of analysts, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
• Track record of active learning and creative problem solving.
• Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.
• Familiarity using git, svn, JIRA, or other version control technologies

Desired Experience:

• A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
• Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics
• Experience with information retrieval and search, e.g. Structured Query Language (SQL), and/or Elastic Stack (Elasticsearch and Kibana)
• Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
• Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.
• Experience developing predictive algorithms, image classifiers, object detectors, and others.
• Familiarity with social network analysis, supply cha