Full Stack Java

We are seeking a Full Stack Java Software Engineer for a 6-month contract position based in Plano, Texas, working onsite. This role focuses on backend development within an agile team delivering secure, stable, and scalable technology products.

Responsibilities

• Provide technical guidance and direction to support business and technical teams
• Develop secure, high-quality production code and review and debug code written by others
• Drive decisions that influence product design, application functionality, and technical operations
• Serve as a subject matter expert in one or more areas of focus
• Lead team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards
• Apply knowledge of Software Development Life Cycle tools and automation capabilities to improve the value realized by automation
• Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices
• Influence peers and project decision-makers to consider leading-edge technologies
• Contribute to a team culture of diversity, opportunity, inclusion, and respect

Qualifications

• Required

• Formal training or certification on software engineering concepts and 5+ years of applied experience

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Advanced proficiency in Java programming

• Proficiency in automation and continuous delivery methods

• Proficiency in all aspects of the Software Development Life Cycle

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)

• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

• Experience designing, deploying, and managing containerized applications using Kubernetes

• In-depth knowledge of the financial services industry and their IT systems

• Preferred

• Experience with microservices architecture

• Proficiency with Spring Boot

• Experience with Kafka

• Experience with Cassandra

• AWS experience or solution architect certification

• Co-Pilot skills