Intone
From Intone's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are seeking a Full Stack Java Software Engineer for a 6-month contract position based in Plano, Texas, working onsite.
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.
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
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
Proficiency with Spring Boot
AWS experience or solution architect certification
Co-Pilot skills
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