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Java and Python Developer; FTE​/Hybrid

Job in Town of Charlotte, Chautauqua County, New York, USA
Listing for: NTT America, Inc.
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, DevOps, Python
Salary/Wage Range or Industry Benchmark: 97000 - 145000 USD Yearly USD 97000.00 145000.00 YEAR
Job Description & How to Apply Below
Position: Java and Python Developer (FTE / Hybrid)
Location: Town of Charlotte

Req : 389836

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a Java and Python Developer (FTE / Hybrid) to join our team in Charlotte ,
North Carolina (US-NC) ,
United States (US) .

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 / Dev Ops 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,…
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