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Tier-1 brand, generic backend title, metro location, and broad cloud/microservices requirements increase candidate competition.
Strong financial-services domain knowledge and backend technical requirements reduce cross-industry transferability.
Mandatory 8+ years and specific Java, microservices, Kafka, and AWS experience creates strict shortlisting filters.
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Lead the enhancement and migration of trade processing platform to a cloud-native code base within Commercial & Investment Banking's Markets Technology.
Design, develop, troubleshoot, and maintain secure, high-quality software solutions, including microservices and event-driven systems using Java 11 and relational databases.
Set and scale operating practices for AI-assisted engineering and SDLC automation across multiple teams to improve delivery speed, quality, and operational stability.
8+ years of software engineering experience with formal training or certification.
Advanced Java 11 coding skills and experience with relational databases such as Oracle, PostgresQL, and MongoDB.
Experience with event-driven development, Kafka, JMS, microservices architecture, and cloud-native application development on AWS.
In-depth knowledge of financial services industry IT systems and experience migrating applications from on-premise/hybrid solutions to AWS cloud.
Experienced in leading multi-team adoption of AI-assisted development and delivery tools, including governance and outcome measurement.
Strong ability to communicate technical concepts effectively across organizational levels, including leadership.
Skilled in applying responsible AI practices related to data sensitivity, security, resiliency, and coaching leaders on safe scaling in engineering workflows.