Software developer

Position: SW Dev
Location: Austin, TX
Duration: 12 months
Client: Department of Information Resources
Visa Restrictions: None
Sub Vending: Yes
Pay Rate: $65/Hr on C2C
Bill Rate: $80

CANDIDATES MUST RESIDE IN A 25 MILE RADIUS OF AUSTIN, TX CURRENTLY, THIS ROLE REQUIRES 4 DAYS PER WEEK ON-SITE IN AUSTIN, TX

Candidate must reside within 25 miles of job location.
Yes

Additional Skills
Job Description

TxDOT work to be accomplished	Researching, designing, implementing, and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business, and systems analysts. Utilized technology such as AI to expedite the software development process. 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, may lead and direct the work of others, a wide degree of creativity and latitude is expected. - Design, develop, and maintain Java-based enterprise applications. - Build and optimize front-end components using Angular and AG Grid for dynamic, data-driven interfaces. - Collaborate with cross-functional teams to deliver scalable and secure solutions. - Integrate AI tools and techniques into application workflows for automation, predictive analytics, and intelligent features. - Participate in code reviews, ensure adherence to best practices, and mentor junior developers. · Troubleshoot and resolve complex technical issues across the stack.
Minimum Yrs of Experience, Skills, and Qualifications	8 - years of experience in Java, Spring Boot, Angular application development. 8 - Strong proficiency in Angular and AG Grid for building rich UI components. 8 - Experience with RESTful APIs, Spring Boot, and microservices architecture. · Excellent problem-solving and analytical skills. · Strong communication and ability to work in collaborative environments. · Adaptability to emerging technologies and AI-driven development practices.
Preferred Skills and Qualifications	Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or AI-powered development tools (e.g., GitHub Copilot, ChatGPT-based coding assistants). Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes). Understanding of CI/CD pipelines and version control (Git).