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Tier-1 brand, metro location, and a mid-level generalist backend role increase applicant competition.
Requires finance domain knowledge and backend specialization, limiting cross-industry transferability.
Mandatory 5+ years plus specific Java, Kafka, and backend stack makes screening strict.
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Own the design, development, and delivery of secure, high-quality production code and technical solutions across multiple software engineering domains.
Lead evaluation and adoption of external and internal technologies and AI-assisted engineering tools to improve code quality, delivery speed, and operational stability.
Drive communities of practice and set standards for secure coding, automated testing, and reuse of effective engineering patterns within the team.
5+ years applied experience with formal training or certification in software engineering concepts.
Strong hands-on experience with Core Java (Java 8+), Design Patterns, Microservices, Spring frameworks, Kafka, and messaging protocols.
Proficient in full Software Development Life Cycle and automation/continuous delivery methods including CI/CD.
Experience in financial services IT systems with practical cloud native experience; knowledge of AI-assisted software development tools and responsible AI use in engineering workflows.
Experienced in leading technical teams and driving adoption of AI-assisted code review and testing practices with strong validation standards.
Comfortable operating in agile environments and delivering solutions supporting operational stability and security in financial services.
Strong background in Java ecosystem and messaging systems with knowledge of cloud platforms and payment domain considered a plus.