Full Stack Software Engineer

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 15 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.Headquartered in Washington, DC’s historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation’s most complex and rewarding challenges. Join us.Barbaricum is seeking a Full Stack Software Engineer to support the Department of Defense’s Chief Data and Artificial Intelligence Officer (CDAO) in accelerating the DoD’s adoption of data, analytics, and AI. The Search Portfolio serves the fundamental need to accelerate decision advantage through information accessibility, information retrieval and insight extraction. The Portfolio will sustain the GAMECHANGER, Contract Search, and JBook Search applications on the Advana platform as the platform upgrades and evolves. This role will be essential as it supports the development, prototyping, and maintenance of AI and machine learning (ML) applications, which are critical for advancing defense capabilities and decision-making.Responsibilities

Designs and develops software requirements for multiple Artificial Intelligence based support capabilities including the software architectures, APIs, frameworks, and libraries.Develops front end and backend of software prototypes, components, and tooling that can be leveraged to speed prototyping process.Maintains and guides the development of common libraries and tools used by multiple teams.Maintains the existing code base of in-production applications, performing bug fixes, updates of code and component libraries to meet security and performance needs as required, and capability enhancements as planned in the sprint schedule.Works closely with clients and requirements owners to build out product lines.Develops plans, road maps, software design strategies. Analyze and decomposes activities and requirements to software designs that are allocated across systems components/sub-components.Aids in formulating a strategy on how to achieve rapid prototyping of AI capabilities, including Generative AI.Qualifications

Must have an active DoD Top Secret clearance and must be able to achieve a TS/SCI clearance with scope.Bachelor’s degree plus 5-7 years experience, or a Masters Degree plus 3 years of experience.Experience with front end frameworks like React or Vue. Experience with backend runtimes and frameworks like Node.js , Spring, Spring Boot, Django, Flask, etc.Experience with Agile software development methodologies and tools.DevSecOps experience including the use of Continuous Integration / Continuous Delivery (CI/CD) Tooling (Git runners, code scanning tools)Experience with containerization and use of Kubernetes.Familiarity with Object Relational Modeling persistence frameworks (e.g. SQLAlchemy), and with PostgreSQL.Well versed in modern software architectures like micro-services as well as front-end frameworks.Strong communications skills: you will be required to proactively engage fellow CDAO members both inside and outside of your team.Ability to synthesize requirements underlying feature requests, recommend alternative technical and business approaches, and facilitate engineering efforts to meet aggressive timelines.

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