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Tier-1 brand, mid-level generalist title, Bangalore metro, and broad skillset increase competitive density.
Core fullstack engineering skills are highly transferable across industries despite banking context.
Explicit 3+ years plus mandatory Java, frontend, AWS, and AI tooling make shortlisting strict.
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Design and deliver stable, secure, and scalable technology products within an agile team environment, focusing on full stack Java development integrated with AWS and AI tools.
Leverage enterprise-authorized AI coding assistants to enhance code quality, delivery speed, and productivity, ensuring validation through peer reviews and automated testing.
Develop, troubleshoot, and deploy cloud-native or cloud-ready applications using modern frontend technologies, cloud platforms (AWS), and container technologies like Kubernetes.
3+ years of applied software engineering experience with formal training or certification.
Hands-on experience with Java, frontend technologies (HTML, CSS, JavaScript, React.js, Angular), AWS, and AI-assisted development tools (e.g., Copilot, LLM, Claude code).
Exposure to CI/CD tools, application resiliency, security, microservice architecture, and container technologies like Kubernetes.
Bachelor’s Degree in Computer Science Engineering or equivalent preferred but not explicitly mandatory.
Experienced in end-to-end software development in large agile teams with exposure to cloud-native AWS solutions and microservice architectures.
Proficient in leveraging AI-assisted software development tools with a strong understanding of responsible AI use, security, and validation of AI-generated outputs.
Skilled in modern frontend frameworks and comfortable working with CI/CD pipelines, automation, and container orchestration technologies.