Sr. Full Stack Engineer 181855

CTI Consulting

  • Durham, Durham
  • 5 days ago

    Highlights

    Build and support GenAI-enabled applications, services, and integrations that improve product delivery workflows. Integrate enterprise-approved AI and developer productivity tools into existing workflows and platforms.

    Numbers & Facts

    LocationDurham, Durham

    Description

    The Expertise You Have

    • Bachelor's degree in Computer Science or related field.

    • 5+ years of experience building full stack applications.

    • Strong experience with Java, Spring Boot, REST APIs, and modern UI frameworks such as React or Angular.

    • Experience designing and developing scalable web applications and services.

    • Experience working in Agile delivery teams.

    • Experience with AWS and cloud-native development.

    • Experience with CI/CD pipelines and DevOps practices.

    • Strong knowledge of SQL, data modeling, system design, and software engineering fundamentals.

    • Experience evaluating or integrating AI-powered development tools is a plus.

    • Financial services experience preferred.

    The Skills You Bring

    • Strong development experience with:

    • Java, Spring Boot

    • React, Angular, TypeScript, JavaScript

    • REST APIs and microservices

    • SQL and database design

    • AWS cloud services

    • Experience with GitHub, GitHub Actions, Jenkins, or similar CI/CD platforms.

    • Understanding of modern AI technologies including LLMs, RAG, agents, and AI-assisted development tools.

    • Ability to build maintainable, testable, and well-documented software.

    • Ability to evaluate technologies and recommend practical solutions.

    • Strong communication and team-based skills.

    • Experience mentoring engineers and working towards engineering standards.

    • Ability to work across multiple teams and business functions.

    The Value You Deliver

    • Build and support GenAI-enabled applications, services, and integrations that improve product delivery workflows.

    • Develop solutions that support teams across Product, BA, UX, Engineering, and Quality Engineering.

    • Integrate enterprise-approved AI and developer productivity tools into existing workflows and platforms.

    • Partner with business and technology teams to identify opportunities for automation and process improvement.

    • Work towards reusable frameworks, standards, and best practices for AI-enabled product delivery.

    • Support CI/CD, testing, monitoring, and operational perfection practices.

    • Evaluate new technologies and provide recommendations based on business value and technical fit.

    • Collaborate with Enterprise teams to align Brokerage solutions with broader Fidelity standards and platforms.

    • Mentor team members and champion a culture of continuous improvement.



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