Software Engineer II

BASIC FUNCTIONS: This position performs moderate research, design, and software development assignments within a specific software functional area or product line.

QUALIFICATIONS:

• 1+ years of Software Engineering experience
• BS Engineering/Computer Science or equivalent experience required TECHNICAL SKILLS:
• Proficiency with data manipulation languages.
• Ability to work with simple data models.
• Proficiency in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, and .Net.
• Familiarity of industry best practices - code coverage.
• Basic knowledge of software development methodologies (e.g., Agile, Waterfall).
• Basic knowledge of data manipulation languages.
• Knowledge of data storage subsystems.
• Knowledge of test-driven development.
• Ability and desire to learn new processes and technologies.

• Basic knowledge of AI-assisted and agentic software development tools, such as GitHub Copilot, Claude Code, Codex, Gemini, or similar tools.
• Ability and desire to use AI-assisted development workflows to generate, refine, test, and debug code while applying sound software engineering practices.
• Basic understanding of when to use AI-assisted development versus traditional coding and problem-solving approaches. • Basic oral and written communications skills. ACCOUNTABILITIES: • Write and review portions of detailed specifications for the development of system components of moderate complexity. • Complete simple bug fixes. • Work closely with other development team members to understand product requirements and translate them into software designs. • Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. • Resolve technical issues as necessary. • Keep abreast of new technology developments. • Use AI-assisted and agentic development tools, under appropriate guidance, to accelerate software development, testing, debugging, and documentation.
• Apply AI-first development workflows while reviewing and validating AI-generated code for correctness, quality, security, and maintainability.
• Continuously learn and adopt emerging AI development tools and practices as part of the software development lifecycle.

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