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Tier-1 brand, popular backend role, and metro/hybrid location increase candidate competition.
Core backend and cloud skills transfer across industries, but financial domain and generative-AI needs increase sensitivity.
Requires specific backend, microservices, cloud-native and event-streaming skills, so filters are strict.
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Develop and deliver microservices and backend components for a next-generation digital platform with near-real-time customer experiences.
Design and optimize scalable, decoupled microservices architectures including APIs, event-driven integrations, and service-owned data stores.
Ensure engineering quality with thorough testing, performance tuning, code reviews, and support production systems with monitoring and incident resolution.
Experience with generative AI development and integration, microservices, and API design.
Proficiency in Scala, Java/Spring Boot, .NET, or Python; and databases like SQL, NoSQL, Cassandra, HBase, Spark, Yarn.
Experience in containerization technologies such as Docker and Kubernetes; familiarity with messaging platforms and event streaming.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced backend engineer skilled in cloud-native microservices architectures focusing on scalability, resilience, and operational excellence.
Able to collaborate across multi-disciplinary teams including engineering, product, platform, and architecture to solve complex problems collectively.
Capable of system-level thinking with strong technical communication skills to manage event-driven and distributed system complexities effectively.