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Tier-1 brand and mid-level Java/AWS backend role increases applicant competition.
Strong backend distributed-systems focus makes cross-industry transition moderately feasible.
Mandatory 5+ years, Java distributed-systems, cloud, and messaging requirements enforce strict technical filters.
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Own end-to-end delivery of complex backend distributed systems incorporating AI-native capabilities such as agentic workflows and LLM-powered features.
Drive adoption of enterprise-authorized AI-assisted engineering practices to enhance code quality, delivery speed, and operational excellence across the team.
Design, develop, troubleshoot, and optimize distributed backend components running on cloud platforms, actively participate in architecture discussions, and mentor junior engineers.
5+ years of applied experience with formal training or certification in software engineering.
Strong experience in Java (Java 21+), Spring Boot, distributed systems design and development, REST, Kafka, and microservices.
Hands-on experience with AI coding assistants (e.g., GitHub Copilot, Cursor) and leading AI-assisted software development practices.
Experience working with cloud platforms, specifically AWS, and asynchronous messaging systems like Kafka or RabbitMQ.
Experienced Java distributed systems engineer capable of designing secure, scalable backend services leveraging AI-native tools and cloud technologies.
Demonstrated leadership in adopting AI-assisted coding and validation standards within an Agile DevOps environment.
Proficient in data modeling, performance optimization, secure coding, and mentoring junior team members in advanced software engineering practices.