Back
Tier-1 brand, metro location, popular mid-level fullstack role with broad skills increases competition.
Fullstack engineering skills are transferable, but enterprise banking and AI-tooling expectations add moderate specificity.
Explicit 5+ years and mandatory Java/Python, React/Angular, DB, CI/CD, and AI-tooling requirements raise strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end delivery of full-stack software solutions involving front-end, backend services, APIs, and database scripts.
Partner with product and stakeholders to clarify requirements, manage delivery readiness, and drive successful outcomes with prioritized, delivery-ready backlogs.
Raise engineering standards by implementing strong code reviews, automation, and enterprise-approved AI-assisted development practices across the team.
5+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Proficiency in backend development using Java with Spring Boot and Python, and frontend development using JavaScript, HTML5, CSS3 with React and/or Angular frameworks.
Experience with Oracle and/or Microsoft SQL Server databases, including querying and performance tuning fundamentals.
Experience in automation and continuous delivery practices including unit, functional, regression testing, and CI/CD pipelines.
Demonstrated success leading engineering teams in enterprise-scale environments integrating AI-assisted development tools with a focus on secure, resilient delivery.
Experience managing full software development lifecycle in cross-functional, agile teams delivering product or platform solutions with dependencies.
Strong operational focus on secure coding, application resiliency, and automation with experience coaching teams on responsible AI use in engineering workflows.