Programmer/Analyst II - Web Development
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026. Landstar System, Inc. scores A on the Alion truth index.
Location: Jacksonville, FL Hybrid
Schedule: Monday - Friday 8-5
Summary:
The Programmer Analyst II is expected to thoughtfully leverage AI-assisted development tools such as GitHub Copilot, Microsoft Copilot Studio, Azure AI Foundry, Databricks, or Google Gemini to enhance productivity without compromising quality or ownership. This includes using AI to accelerate repetitive coding tasks, suggest implementation patterns, draft documentation, generate test cases, and support troubleshooting. The developer remains accountable for validating accuracy, reviewing security implications, ensuring maintainability, and aligning all code with organizational standards.
Essential Responsibilities:
Analyze business requirements, user needs, and existing system functionality to design effective software solutions.
Develop, enhance, test, and support web and enterprise applications using .NET, C#, ASP.NET Core, Angular, Python, and Blazor.
Design and maintain data solutions using MS SQL Server and MongoDB, including relational queries, stored procedures, performance tuning, document-based modeling, aggregation, and data integrity controls.
Build and maintain RESTful APIs, service integrations, application interfaces, and MS Power Automate flows that support reliable business workflows.
Troubleshoot production issues, perform root-cause analysis, implement fixes, and recommend improvements to prevent recurrence.
Participate in code reviews, unit testing, integration testing, deployment planning, release support, and technical documentation.
Collaborate with business stakeholders, project managers, analysts, QA resources, and other developers to deliver high-quality solutions.
Use task management and work tracking tools such as JIRA to create, update, prioritize, and document development tasks, including tracking hours worked against assigned tasks.
Use AI-assisted development tools, including GitHub Copilot or similar platforms, to accelerate development while validating all generated output for accuracy, security, and maintainability.
Other duties as assigned
Required Minimum Experience and Education:
High School diploma or equivalent
2 years of application development experience
2 years of experience developing applications with either C#, .NET, ASP.NET Core, Angular, TypeScript, Python, Blazor, HTML, CSS, or related Microsoft development technologies.
2 years of experience designing, building, and supporting MS Power Automate flows to automate business processes, integrate systems, and improve operational efficiency.
2 years of experience using Git, Visual Studio, Visual Studio Code, Azure DevOps, GitHub, JIRA, or comparable development and work tracking tools.
2 years of experience using Microsoft Copilot Studio, Azure AI Foundry, Databricks, Google Gemini, or comparable enterprise AI platforms.
Preferred Experience and Education:
Bachelor’s degree in computer or information science
2 years of experience with cloud platforms, automated testing, containerized deployments, or application modernization efforts.
2 years of experience supporting production systems, incident response, monitoring, logging, and performance troubleshooting.
2 years of experience using AI tools for code explanation, documentation support, test generation, refactoring suggestions, and productivity improvement.
Knowledge, Skills, and Abilities:
Knowledge of MS SQL Server and MongoDB, including database design, query development, stored procedures, schema design, performance analysis, and query optimization
Knowledge of software development life cycle practices, source control, branching strategies, testing, deployment processes, and secure coding practices
Ability to analyze complex technical issues, communicate findings clearly, deliver practical solutions, and document progress and hours worked for assigned tasks.
Ability to use AI development assistants responsibly by reviewing, testing, securing, and refining AI-generated code before implementation.
Working knowledge of Agile development practices, backlog refinement, sprint planning, and iterative delivery
Knowledge of Supply Chain Logistics
Strong analytical thinking and problem-solving skills.
Ability to translate business needs into reliable technical solutions.
Commitment to clean, maintainable, secure, and well-documented code.
Effective communication with both technical and non-technical stakeholders.
Curiosity and adaptability when learning new frameworks, tools, and AI-enabled development practices.
Ownership mindset with a focus on quality, reliability, and continuous improvement.
Ability to work effectively with colleagues.