SourceFly

Frontend Engineer

• Lead and perform development and maintenance of end-user focused, object-oriented,data-driven analytic applications to support CBP threat analysis and targeting in an agile environment.
• Design, develop, and implement scalable, high-performance and reliable applications and microservices using Java (including frameworks like Spring Boot, Jakarta etc.) for the backend and modern JavaScript frameworks (e.g. React, Angular, Vue.js) for the frontend.
• Contribute to all phases of the software engineering lifecycle (SELC), including requirements gathering, architecture design, coding, testing, deployment, and maintenance.
• Develop and consume RESTful APIs and ensure seamless integration between front-end and backend systems.
• Develop new code, modify existing application code, conduct unit and system testing, and engage in rigorous documentation of developed and delivered application use cases, data flows, and functional operations.
• Develop, manage, and optimize CI/CD pipelines (e.g. using Jenkins, Gitlab CI, Harness) for automated builds, testing, and deployments.
• Demonstrate a strong practical understanding to integrate rapid deployment process of AI/ML services into application delivery framework for targeting.

Full Stack Developer – Angular, AWS

Data Scientist

• Lead and perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation)
• Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies
• Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation
• Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions
• Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching
• Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting