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Director, Software Engineer

PublishedPublished: 6/14/2022
Technology
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Job Description

A leading global financial-services organization is seeking an accomplished Director-level Software Engineer to design and develop cloud-native applications supporting critical business and analytics functions.

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This opportunity is ideal for a highly experienced Java engineer who remains deeply hands-on, enjoys solving complex technical challenges, and has a proven history of building scalable applications from scratch.

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Responsibilities

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  • Design and develop Java and Spring Boot applications, APIs, and microservices.
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  • Build event-driven architectures and Kafka streaming solutions.
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  • Own development across architecture, coding, testing, deployment, and production support.
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  • Develop scalable and resilient cloud-native applications on AWS.
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  • Design distributed systems with strong availability, performance, and fault tolerance.
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  • Collaborate with engineering, product, and analytics stakeholders.
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  • Provide technical leadership through mentoring, code reviews, and best practices.
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  • Support continued development of sophisticated digital and data-driven platforms.
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Role Requirements

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  • Extensive hands-on Java development experience, ideally 12+ years.
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  • Strong Spring Boot and microservices development.
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  • Experience implementing Kafka-based event-driven applications.
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  • Proven experience building complex software platforms from scratch.
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  • AWS cloud-native development and deployment experience.
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  • Understanding of Docker, Kubernetes, and containerized application environments.
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  • Strong distributed-systems architecture and troubleshooting capabilities.
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  • Experience with SQL, automated testing, and CI/CD.
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  • Excellent technical leadership, problem-solving, and communication skills.
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Nice to Have

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  • Financial-services or investment banking technology experience.
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  • React, Angular, JavaScript, or TypeScript.
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  • Salesforce, CRM, or business intelligence applications.
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  • Modern data engineering or analytics tools.
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  • Exposure to enterprise AI-enabled applications.
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