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Strong employer brand plus a common full-stack title but senior specialization keeps competition moderate.
Core Java and cloud skills are transferable, but capital-markets and data-platform expectations raise domain specificity.
Many mandatory tech requirements across Java, cloud, data and DevOps increase screening rigidity.
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Design, develop and support full stack Java applications across UI, backend, and database layers in cloud (Azure/AWS) and on-prem environments using Kubernetes, Helm charts, and DevOps pipelines.
Ensure data availability, accessibility, and accuracy by handling critical development, support, and enhancements within Agile teams collaborating globally.
Translate business requirements into technical specifications and make independent technical decisions focusing on Java technologies and cloud-native microservices design.
Proficient in Core Java/J2EE, Spring Boot, Microservices, and Java 1.8+ with experience in JMS, MQ, Kafka.
Hands-on experience with Azure cloud, AKS (Azure Kubernetes Service), Helm charts, Docker, and DevOps tools such as Jenkins, GitHub, Maven, and Harness.
Experience in databases and data warehouse technologies including Snowflake, DBT, Airflow, PL/SQL, SQL, and monitoring tools like Splunk and Dynatrace.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrates strong expertise in Java full stack development with strategic knowledge of cloud-native technologies (Azure/AWS) and container orchestration (Kubernetes).
Experienced working in Agile/Scrum teams delivering complex financial domain solutions with a practical understanding of SDLC, messaging systems, and data lake architectures.
Capable of independently making technical decisions and translating complex business requirements into scalable Java microservices supporting capital markets or related financial services.