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Tier-1 brand, metro location, mid-level technical role, and popular backend title increase candidate competition.
Specialized low-latency payments and finance domain knowledge increases domain bias, limiting cross-industry transferability.
Explicit 5+ years, Java 17+, low-latency and distributed systems expertise required, making filters stringent.
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Design and develop robust, low-latency, high-performance Java applications with security and scalability in mind.
Lead engineering efforts including architectural reviews, code reviews, and adoption of AI-assisted engineering practices to improve code quality and delivery speed.
Collaborate with cross-functional teams to translate business requirements into technical solutions and produce architecture and design artifacts for complex distributed systems.
5+ years of applied software engineering experience with formal training or certification.
Strong expertise in Java 17+, Spring Boot, object-oriented programming, multithreading, IPC, low-latency programming techniques, and distributed systems design.
Proven experience with messaging technologies such as Kafka and distributed databases like PostgreSQL or CockroachDB.
Experience leading use of AI-assisted software development tools with knowledge of responsible AI practices in engineering workflows.
Experienced in designing and optimizing latency-sensitive, distributed payment or financial technology systems.
Proficient in integrating secure coding practices, scalability, and resiliency in complex enterprise environments.
Demonstrated leadership in technical design, mentoring, and adoption of advanced automation and AI-assisted development tools within agile teams.