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Tier-1 brand, mid-level generalist title, metro location, and broad skill demands drive high candidate competition.
Fullstack skills transfer easily, but banking security and enterprise AI controls increase domain specificity.
Mandatory Java, frontend, AWS, AI tooling and banking security/resiliency expectations enforce strict filtering.
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Design, develop, code, test, and troubleshoot software components within Agile teams for cloud-native applications on AWS.
Leverage enterprise-authorized AI-assisted development tools (e.g., co-pilot, LLM, Claude code) to enhance code quality, delivery speed, and productivity while validating AI-generated outputs.
Contribute to building scalable, secure, and resilient cloud-ready applications with frontend technologies and microservice architecture exposure.
Minimum 2 years of applied software engineering experience with formal training or certification.
Hands-on experience with Java, frontend technologies (HTML, CSS, JavaScript, React.js or Angular), AWS cloud development, and AI-assisted software development tools.
Exposure to CI/CD tools, application resiliency, security, and microservice architecture.
Bachelor's Degree in Computer Science Engineering or equivalent is preferred but not explicitly mandated.
Experienced in full-stack Java development combined with cloud-native AWS application building and AI-assisted SDLC tooling.
Capable of working effectively within Agile, collaborative teams to deliver secure and scalable software solutions.
Familiar with prompt engineering, emerging AI productivity tools, and modern frontend frameworks enabling innovation in financial technology products.