Req ID: 389836
We are currently seeking a Java and Python Developer to join our team in Charlotte, North Carolina (US-NC), United States (US).
Job Description:
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
