About this opportunity
VDart Inc lists this Java/Python/AI opportunity in charlotte, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Title: Java/Python/AI
Location: Charlotte, NC (Hybrid)
Type: Contract
In this role, you will:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Required Qualifications:
7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Approximately 7+ years of professional experience in software engineering or application development with a proven track record of delivering production quality systems
Strong hands on experience with Java full stack, Kafka, Python, and frameworks aligned with the team's technology stack
Demonstrated ability to apply AI assisted development practices at scale to improve engineering productivity, code quality, and reliability
Practical experience using AI powered engineering tools (e.g., code assistants, automated testing tools, documentation generators, observability and troubleshooting assistants, or internal AI platforms)
Solid understanding of the end to end software development life cycle (SDLC) and hands on experience working in Agile / DevOps delivery models
Advanced proficiency with source control systems, CI/CD pipelines, and modern development workflows, including AI augmented reviews and automation
Experience supporting deployments, upgrades, environment stability, and production operations, including on call or incident support
Strong foundational knowledge of databases, APIs, distributed systems, messaging platforms, and system integrations
Good awareness of security, risk, data privacy, compliance, and responsible AI usage, with the ability to apply these principles in design and implementation
Ability to independently troubleshoot and resolve moderately complex technical issues, leveraging documentation, system telemetry, and AI assisted insights
Demonstrated commitment to continuous learning, especially emerging AI technologies and patterns relevant to the engineering domain
Strong communication skills with the ability to collaborate effectively with engineers, product partners, and stakeholders, and to mentor junior team members
Job Expectations:
Lead and contribute to moderate to high complexity technology initiatives, including new feature development, system enhancements, upgrades, and deployments
Design, implement, test, debug, and document robust solutions, making informed architectural decisions within established guidelines
Apply an AI first engineering mindset, proactively using approved AI tools for code generation, refactoring, reviews, testing, troubleshooting, and documentation while ensuring compliance with enterprise standards
Drive adherence to engineering best practices, design patterns, coding standards, and responsible AI and data usage policies
Identify, propose, and help implement improvements to service quality, performance, stability, scalability, and developer efficiency
Independently investigate and resolve recurring and non trivial technical issues, leveraging both traditional debugging techniques and AI assisted analysis, and lead resolution efforts to meet SLAs
Ensure security, compliance, and risk controls are embedded into design, development, and support activities, including appropriate handling of sensitive data when using AI tools
Actively participate in and lead code reviews and technical design discussions, providing clear, constructive feedback
Mentor and support junior engineers, sharing knowledge on technology, domain context, and effective use of AI tools
Build strong domain expertise in the assigned business area and help identify AI use cases that create measurable technical or business impact
Communicate technical status, risks, trade offs, and recommendations clearly to team members and stakeholders
Demonstrate ongoing growth in technical leadership, decision making, system ownership, and responsible AI usage
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Worksite address
charlotte, NC, 28245, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.