Senior Java Developer - Asset Management Platform

Senior Java DeveloperLocation: Westlake, TX (Onsite) Duration: 12 Months Contract Position Type: Contract / Solutions Domain: Asset Management / Financial ServicesPosition Overview: We are seeking an experienced Senior Java Developer to join a high-performing Asset Management technology team responsible for building and supporting a large-scale managed account platform. The ideal candidate will possess strong expertise in backend Java development, cloud-native microservices, event-driven architectures, and enterprise data processing systems. This role will focus on developing mission-critical applications that support portfolio construction, financial data processing, and investment management workflows. The successful candidate will play a key role in designing scalable services, optimizing data pipelines, and ensuring operational excellence across the application lifecycle.Required Qualifications:Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.8+ years of hands-on experience in Java application development.Strong expertise in: Java 11/17+, Spring Boot, Microservices Architecture, RESTful APIs, Object-Oriented Design Principles.Experience developing and deploying cloud-native applications in AWS environments.Hands-on experience with AWS EKS (Elastic Kubernetes Service) and containerized deployments.Strong knowledge of Oracle Database development and performance optimization.Experience with myBatis or similar ORM/data persistence frameworks.Strong SQL and PL/SQL programming skills.Experience implementing event-driven systems using Apache Kafka.Familiarity with CI/CD pipelines, DevOps practices, and automated deployments.Excellent analytical, troubleshooting, and problem-solving skills.Strong verbal and written communication abilities.Preferred Qualifications:Experience within Asset Management, Wealth Management, Capital Markets, or Financial Services domains.Familiarity with portfolio management or managed account platforms.Experience with Kubernetes administration and container orchestration.Knowledge of distributed systems and high-volume transaction processing.Exposure to Agile/Scrum development methodologies.Key Responsibilities:Backend & Microservices Development: Design, develop, and maintain scalable Java-based microservices using Spring Boot. Build resilient, high-performance APIs and backend services supporting portfolio construction and financial data processing. Develop cloud-native applications deployed on AWS EKS and Kubernetes environments. Ensure system scalability, availability, and fault tolerance.Data Management & Database Development: Design and implement efficient data persistence layers using myBatis. Develop and optimize complex SQL and PL/SQL procedures for large-scale financial data processing. Collaborate with database teams to improve performance, reliability, and scalability. Manage high-volume transactional and reference data across enterprise platforms.Event-Driven Architecture & Data Integration: Implement Kafka-based messaging solutions for real-time data movement and processing. Develop robust event-driven workflows supporting business-critical financial operations. Ensure reliable data synchronization between distributed systems and services.Batch Processing & Workflow Automation: Develop and maintain automated batch processing solutions using Autosys. Optimize scheduled workflows for large-scale data ingestion, transformation, and reporting processes. Monitor and troubleshoot batch execution and performance issues.Quality Engineering & Testing: Champion Test-Driven Development (TDD) and Acceptance Test-Driven Development (ATDD) practices. Create automated unit, integration, and acceptance tests using Groovy and Spock Framework. Utilize WireMock for service virtualization and dependency isolation. Ensure high code quality through peer reviews and continuous testing.DevOps & Production Support: Participate in CI/CD pipeline development and deployment automation. Monitor application health, performance, and availability using Datadog. Investigate and resolve production issues while maintaining service reliability. Contribute to observability, logging, and operational excellence initiatives.