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Mid-level backend role, metro location, popular title and broad skillset increases applicant competition.
Java microservices and cloud skills are transferable across industries, but AI/enterprise specifics increase domain sensitivity.
Mandatory 4–6 years, Master's degree, and specific Java/Spring/Kafka/cloud/AI requirements raise shortlisting strictness.
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Plan, design, develop, test, and enhance complex software systems and applications including cloud-based, AI-driven solutions.
Implement scalable, efficient products leveraging Generative AI, machine learning, and intelligent automation to improve customer experience and business value.
Provide technical mentorship and guidance to teams, collaborating with architects, product managers, and supervisors on strategic project decisions.
4-6 years of relevant software development experience.
Master’s degree in Business, Computer Science, Engineering, or related technical field from an accredited university.
Strong expertise in Core Java, Spring Boot, microservices, and cloud platforms such as AWS or GCP with exposure to AI/ML services.
Proven experience working in Agile software development environments and familiarity with CI/CD pipelines and modern development tools.
Experienced in applying AI/ML concepts including Generative AI, Large Language Models, and AI-powered development tools within enterprise applications.
Demonstrated ability to influence project direction and strategic decisions while maintaining strong stakeholder relationships.
Capable of mentoring teams technically and culturally, integrating deep technical knowledge with business context in a fast-paced environment.