Full Stack Engineer Lead

Job#: 2045392

Job Description:

Duties and Responsibilities:

• Participate and own end-to-end iterative design, development, testing, and deployment of capabilities within the Navy Reserve portfolio of business systems.
• Work with analysts, stakeholders, and other engineers to understand, define, and improve requirements.
• Maintain a pulse on development roadmaps and emerging technologies to advance those employed by the team.
• Promote team growth through a variety of mechanisms, including mentoring, code reviews, educational and inspirational articles, commentary, and talks.
• Advise leadership and team on complexity reduction in projects, products, services, systems, and processes. Recognize and demonstrate the ability to make decisions based on risk and return on investment.
• Produce, test, and perform ongoing evaluation of deployable ML models that can operate in near real-time and provide enhanced and automated outputs to the Navy Reserve community.
• Conduct exploratory data analysis on large, raw, and highly dimensional pre-existing datasets, applying data visualization, normalization, and data mining methods to extract usable data from possibly noisy datasets.
• Become a resident expert in all technologies within the full stack, including but not limited to .NET, JavaScript, React, and subordinate technologies/frameworks, with a particular focus on AI/ML capabilities/tools/techniques.
• Promote a culture founded on agile development with high development standards.

Required Qualifications:

• Bachelor Degree in Computer Science, Computer Engineering, or related disciplines.
• 5 years of relevant experience performing software development.
• SECRET level security clearance.
• CompTIA Security+ certification (or equivalent), or ability to achieve within 6 months.
• Proven ability to perform generative AI tasks (script generation, generative models).
• Familiarity with unlabeled datasets and applicable machine learning processes (self-supervised learning, semi-supervised and meta-learning).
• Experience with non-deep learning techniques in a supervised setting (support vector machines, decision trees, KNN, and random forests).
• Experience with non-deep learning techniques in an unsupervised setting (K-means, DBSCAN, Hierarchical clustering, T-SNE).
• Experience developing solutions leveraging large language models (LLMs) and Retrieval Augmented Generation (RAG) workflows.
• Proven ability to multitask and prioritize accordingly, contributing to multiple assigned projects.
• Ability to adapt quickly to an existing, complex environment.
• Good understanding of business requirements and IT strategies.
• Excellent written and verbal communication skills.
• Practical knowledge of software design patterns.
• Experience with bug tracking systems (GitLab, GitHub, Jira, Azure DevOps).
• Experience with version control systems (Git preferred).
• Azure, AWS, and/or SaaS based development experience supporting AI/ML workloads.

Desired Qualifications:

• Experience in .NET (C#), ASP.NET, JavaScript, Node, React, Python, MS SQL Server.
• Experience developing in an Agile environment, leveraging Scrum and/or Kanban.
• Experience developing business systems for the Department of Defense, specifically the US Navy.
• Experience building responsive web applications suitable for use on mobile devices.
• Experience implementing and configuring CI/CD pipelines (Azure DevOps, Sonar Qube, Nexus Repository Manager, Nexus IQ).
• Experience managing software deployed to a production environment (IIS, MS SQL Server).
• Knowledge of AI/ML algorithms, or an ability to learn and understand existing implementations.
• Knowledge of Generative AI and common development patterns, tools, and techniques, including Vector Stores, Large Language Models, and Prompt Engineering.

Employee Type:
Contract

Location:
Chesapeake, VA, US

Job Type:
Applications and Data Management