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Tier-1 employer, generalist Software Engineer title, and mid-level (3+ years) experience amplify applicant competition.
Backend software engineering, Python, and system design skills are highly transferable across industries.
Explicit 3+ years, mandatory Python and secure coding expectations, plus AI-assisted tooling knowledge increase screening filters.
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Design, develop, and troubleshoot software solutions with emphasis on secure, high-quality production code.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity, ensuring validation through peer review and automated testing.
Produce architecture and design artifacts for complex applications ensuring design constraints and drive continuous improvement using data insights.
3+ years of applied software engineering experience with formal training or certification.
Proficiency in Python; experience with system design, development, testing, and operational stability in large corporate environments.
Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate and validate AI outputs.
Understanding of Software Development Life Cycle (SDLC) and Agile methodologies including CI/CD, application resiliency, and security.
Experienced in building scalable, secure software products in a structured agile environment with automation focus.
Comfortable integrating AI-assisted tools responsibly into software workflows, considering data sensitivity and security.
Familiarity or interest in data engineering for AI model training and deployment, ideally with exposure to cloud technologies like AWS and ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).