Java and Python Developer

Description: Role: Java/Python/AI

Location: Charlotte, NC

Local candidates preferred.

Job Duties and Responsibilities

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

7 years of Demonstrated ability to apply AI‑assisted development practices at scale to improve engineering productivity, code quality, and reliability

7 years of Practical experience using AI‑powered engineering tools (e.g., code assistants, automated testing tools, documentation generators, observability and troubleshooting assistants, or internal AI platforms)

7 years of Solid understanding of the end‑to‑end software development life cycle (SDLC) and hands‑on experience working in Agile / DevOps delivery models

7 years of Advanced proficiency with source control systems, CI/CD pipelines, and modern development workflows, including AI‑augmented reviews and automation

7 years of Experience supporting deployments, upgrades, environment stability, and production operations, including on‑call or incident support

7 years of 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

7 years of 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