Stellar Consulting Solutions is a boutique business & technology consulting company headquartered in Atlanta, GA. We deliver high quality, agile, and experienced workforce for niche technology projects of any scale. We help forward thinking clients to solve specific problems by understanding their needs and align talent that can move fluidly
to match skill supply and demand on a real-time basis.
Stellar Consulting has a unique combination of technical and digital skills to recruit, engage, and retain qualified talent. We have a stellar reputation for striving to achieve high ethical standards. Our use of Innovative techniques and industry best practices has made us one of the fastest growing boutique firms delivering to enterprise business.
Job Description:
Title: Fullstack Java Developer
Location: Austin, TX 78729
Work Mode: 3 days onsite/week
Duration: 6+ months contract (extension possible)
Exp. required: 3+ Years
Job Description:
This is a full-stack engineering role where you will:
Contribute to backend services and APIs
Build user-facing web applications and internal tools
Support development of workflow systems and automation platforms
You'll work on features that improve agent productivity and customer experience, collaborating closely with senior engineers.
This is a hands-on IC role:
~70 80% coding (frontend + backend)
~20 30% collaboration, reviews, and learning
You will primarily own well-scoped features with guidance.
Must-Have Qualifications
Education & Experience
BS/MS in Computer Science, Engineering, or equivalent experience
2 4 years of full-stack software development experience
Backend:
Proficiency in Java (or similar backend language)
Experience building or contributing to REST APIs
Basic understanding of databases (SQL; exposure to NoSQL is a plus)
Frontend:
Proficiency in JavaScript/TypeScript
Experience with ReactJS
Understanding of API integration and responsive UI development
General:
Familiarity with:
Git and CI/CD pipelines
Basic testing and debugging practices
Strong problem-solving skills and willingness to learn
Basic familiarity with AI-assisted development tools (e.g., Copilot, ChatGPT)
Awareness of how AI/LLMs are used in applications (APIs, simple workflows, automation)
Nice-to-Have:
Exposure to Spring Boot or similar frameworks
Familiarity with Docker or cloud environments
Basic understanding of state management (Redux, etc.)
Exposure to monitoring/logging tools
Awareness of workflow or automation systems
Exposure to LLM-based features, such as: Chat or summarization use cases, Prompt-based workflows, API-based AI integrations
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