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Tier-1 brand, mid-level FullStack title, metro hiring, and broad common tech stack increase competition.
Skills are broadly transferable, though banking and enterprise AI experience moderately favor finance backgrounds.
Multiple mandatory technologies, 3+ years requirement, and enterprise AI tooling mandate increase strictness.
Design and deliver secure, stable, scalable software solutions supporting Auto Finance business functions.
Produce architecture and design artifacts ensuring design constraints are met in software development.
Leverage AI-assisted development tools to improve code quality, delivery speed, and contribute reusable patterns for team effectiveness.
3+ years of hands-on applied software engineering experience.
Proficient in Java, Spring Boot, React Native, AWS (ECS, DynamoDB, Postgres), Kafka, IaC/Terraform.
Experience with enterprise-authorized AI-assisted software development tools and ability to evaluate and validate AI-generated outputs.
Formal training or certification on software engineering concepts.
Experienced working within large corporate environments with modern programming and database querying languages.
Comfortable with agile methodologies including CI/CD, application resiliency, and security best practices.
Skilled in analyzing and improving coding hygiene and system architecture through data insights and responsible AI use in engineering workflows.