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Tier-1 brand, metro location, and a popular mid-level UI engineering title drive high competition.
UI engineering with data and responsible-AI requirements makes cross-industry fit moderately transferable.
Explicit 3+ years plus mandatory technical, AI, and tooling skills make shortlisting strict.
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Design and deliver secure, stable, and scalable software solutions within multiple technical areas to support business objectives.
Produce architecture and design artifacts for complex applications and ensure code meets design constraints and quality standards.
Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and contribute to team knowledge and software engineering communities.
3+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Hands-on experience in system design, development, testing, and maintaining code using modern programming languages and database querying in a corporate environment.
Strong knowledge of software development life cycle, agile methodologies (CI/CD, Application Resiliency, Security), and advanced technical skills including Python, Airflow, Spark, relational & document databases, cloud, and AI/ML technologies.
Experience with enterprise-authorized AI-assisted software development tools and understanding of responsible AI use with a focus on security and resiliency.
Experienced in handling complex, multi-technical business functions with measurable impact on software architecture and delivery.
Skilled at integrating AI-assisted tools critically and securely within engineering workflows.
Proficient in advanced algorithms and data processing frameworks, comfortable in large corporate environments with agile delivery models.