Java/Python/AI

VDart Inc; Charlotte (NC); Hybrid; USD 83,000 - 138,000; Part time

Job summary

VDart Inc. in Charlotte, NC is seeking an experienced Software Engineer to lead and contribute to mid-to-high complexity initiatives. You will design, implement, and document solutions using Java full stack, Kafka, and Python while leveraging AI-assisted development practices.

The role requires collaboration with product partners and ongoing learning in AI trends. The position is a hybrid contract based in Charlotte with responsibilities spanning deployments, upgrades, and production support,

Qualifications

• 7+ years of Software Engineering experience or equivalent demonstrated through work, training, military, or education.
• Hands-on experience with Java full stack, Kafka, and Python across modern stacks.
• AI-assisted development practices at scale to improve productivity and quality.
• Solid SDLC understanding with Agile/DevOps delivery and CI/CD pipelines.

Responsibilities

• Lead moderately complex initiatives and deliverables within technical domain environments.
• Design, code, test, debug, and document for projects and programs, including upgrades and deployments.
• Review technical challenges requiring in-depth evaluation of technologies and procedures.
• Collaborate with peers and managers to resolve challenges and achieve goals.
• Lead projects, provide escalation guidance, and mentor junior staff.
• Support deployments, environment stability, and production operations, including on-call aspects.

Skills

Java full stack

Kafka

Python

AI assisted dev

SDLC

Agile/DevOps

CI/CD pipelines

On-call support

Mentoring

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