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Tier-1 brand, metro location, and broad mid-level backend requirements drive high competition.
Core Java microservices and cloud skills are widely transferable across industries.
Multiple mandatory backend, cloud, and infrastructure skills plus 5+ years requirement increase shortlisting rigor.
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Design, develop, and deliver secure, scalable software solutions with a focus on Java, AWS, Microservices, SpringBoot, Kafka, and cloud-native technologies.
Lead adoption and effective use of enterprise-authorized AI-assisted engineering tools to improve code quality, delivery speed, and operational stability.
Drive technical evaluations with external and internal teams and lead communities of practice to promote new technologies and engineering best practices.
5+ years applied software engineering experience with formal training or certification in software engineering concepts.
Advanced hands-on experience in Java, AWS, Microservices, SpringBoot, Kafka, CassandraDB, CockroachDB, Terraform, and cloud-native technologies.
Demonstrated leadership in using approved AI-assisted software development tools including validation for correctness, performance, and security.
Proficiency in automation, continuous delivery (CI/CD), Software Development Life Cycle, and agile methodologies with a strong focus on application resiliency and security.
Experienced lead engineer comfortable driving AI-assisted software development practices and coaching teams on responsible and secure AI use.
Strong background in cloud-native Java applications with microservices architecture and expertise in operational stability and automation.
Effective at influencing technical direction across teams and leading initiatives for adoption of modern development tools and practices.