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Tier-1 brand, metro location, and mid-level experience amplify applicant competition despite specialization.
Low-latency payments expertise favors fintech/trading, while Java and Kafka skills remain moderately transferable across industries.
Explicit 5+ years and multiple mandatory technologies and architecture requirements enforce strict shortlisting.
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Design and develop robust, high-performance, low-latency Java-based software solutions with a focus on security and scalability in payment-related systems.
Lead technical design, code reviews, architecture discussions, and adoption of AI-assisted development practices to improve code quality and delivery speed.
Drive compliance and risk assessment to ensure operationally sound systems while mentoring and developing the engineering team.
5+ years of applied software engineering experience with formal training or certification.
Strong expertise in Java 17+, Spring Boot framework, object-oriented programming, multithreading, messaging technologies, and distributed systems design.
Experience with low-latency programming techniques such as IPC, memory-mapped files, ring buffers; and technologies like gRPC, Google Protocol Buffers, Kafka.
Experience with relational databases (PostgreSQL, CockroachDB) and knowledge of secure coding, SDLC, agile methodologies; no explicit notice period mentioned.
Experienced in leading engineering teams through design, development, and deployment of distributed, low-latency financial systems in payment domain or similar.
Proficient in adopting and coaching responsible AI-assisted software development tools and practices ensuring security, correctness, and performance.
Skilled at translating business requirements into technical solutions while maintaining architecture integrity and mentoring peers in technical innovation and best practices.