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Sr. Full Stack Engineer

CIS Technologies Inc.Durham, NC🇺🇸United StatesPosted 2 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Durham, NC, United States
Posted
Yesterday
MicroservicesSQLSpringSpring BootAWSAgileAngularGitHub ActionsJavaJavaScriptJenkinsRESTReactTypeScript

Job Description

Hello,

Need H1B, EAD

JD:-

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.

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