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Tier-1 brand, metro office, generic mid-level software engineer title, and broad skillset increase applicant competition.
General software engineering skills are transferable across industries, so background fit sensitivity is low.
Explicit 3+ years requirement plus core engineering, SDLC, and secure development expectations enforce moderate screening.
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Designs, develops, tests, and troubleshoots software solutions within the Employee Platforms Team using ADLC and Python-based technologies.
Creates secure, high-quality production code with integrating enterprise-authorized AI-assisted development tools to enhance code quality and delivery speed.
Produces architecture and design artifacts for complex applications and analyzes large diverse data sets to improve software applications and system architecture.
3+ years of applied experience in software engineering with formal training or certification.
Experience in system design, application development, testing, and operational stability in a large corporate environment.
Hands-on experience with enterprise-authorized AI-assisted software development tools and modern programming languages including database querying languages.
Knowledge of Software Development Life Cycle concepts with specific familiarity with ADLC and agile methodologies including CI/CD, application resiliency, and security.
Experienced in leveraging AI-assisted coding tools critically and validating AI-generated software outputs for correctness, performance, and security.
Capable of producing architecture and design documentation, and proactively improving coding hygiene and system architecture based on data insights.
Familiar with secure and responsible AI use principles in engineering workflows and able to guide team members on best practices.