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Tier-1 brand attracts applicants, but seniority and niche Flink/Kafka streaming skills limit the candidate pool.
Strong backend streaming specialization is transferable across industries but favors candidates with financial domain experience.
Mandates 10+ years plus specific Java, Kafka, Flink, AWS/EKS expertise.
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Provide technical guidance and direction to business and technical teams, contractors, and vendors.
Develop, review, debug secure and high-quality production code, ensuring application stability and operational efficiency.
Lead adoption of enterprise-authorized AI-assisted engineering practices and SDLC automation across teams, influencing product design and technical processes.
Bachelor's or Master's degree in Computer Science or equivalent.
Minimum 10 years of hands-on experience with Java, SpringBoot, Kafka, Flink, AWS, and EKS in delivering design, development, testing, and operational stability.
Proficient in Software Development Life Cycle, agile methodologies including CI/CD, application resiliency, and security.
Experience leading responsible adoption of AI-assisted development tools with knowledge of secure data handling and governance.
Expert in Java ecosystem with advanced skills in frameworks like Spring, Kafka Streams, Flink, and handling large-scale streaming data environments.
Experienced in cloud technologies, especially AWS and EKS, with a focus on automation and continuous delivery.
Capable of independently solving design and functionality challenges with strong influence on engineering teams to adopt cutting-edge technologies and AI-driven automation.