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Known employer, generic title, mid-level experience range and metro location increase competition.
Backend Java and cloud skills transfer across industries, but fintech platform context adds moderate domain bias.
Explicit 2–5 years plus mandatory Java/Spring and cloud-microservices skills enforce moderate screening.
Contribute to development and maintenance of core infrastructure microservices and platform components using Java, Kubernetes, and cloud-native technologies.
Utilize Generative AI tools to enhance coding productivity, debugging, and understanding of AI-enabled platform capabilities.
Participate in design discussions, write clean testable Java code, and assist in CI/CD and basic DevOps tasks under senior engineers' guidance.
2–5 years of software development experience including internships or academic projects.
Basic knowledge of Java, object-oriented programming, and familiarity with Spring Boot or similar frameworks.
Understanding of APIs, REST, databases, basic system design; exposure to microservices and cloud environments is a plus but not mandatory.
Work Experience Required: 2–5 years (including internships or academic projects).
Entry-level or early-career engineer focused on backend/infrastructure development with willingness to learn and grow under mentorship.
Ability and interest to work with distributed systems, cloud-native platforms, and evolving AI-enabled capabilities.
Comfortable collaborating in guided environments and using productivity tools like Generative AI for software development.