Java and Python Developer

We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to parse the job posting. Company Overview: includes Req ID etc. We should not include Job ID/requisition numbers as headings; fold minor metadata into short

or drop it. So we can include a short paragraph about company overview maybe. Job Description: bullet list of duties. Required Qualifications: bullet list? It says "7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education". That's a requirement. Desired Qualifications: a long list. Job Expectations: more duties/responsibilities. About NTT DATA: company overview. We need sections: About the role (maybe summary), Responsibilities (duties), Requirements (maybe required qualifications), Qualifications (desired?), Skills (maybe list of skills), Benefits, Pay, Schedule. We need to include only sections with real specific content. Let's extract content. About the role: Could be a brief paragraph summarizing role: "Java and Python Developer to join our team in Charlotte, North Carolina". Also mention leading initiatives etc. We'll create a short paragraph. Responsibilities: combine job description bullet points and job expectations bullet points. Use

• . Requirements: required qualifications bullet. Qualifications: desired qualifications bullet. Skills: maybe list of specific technologies: Java full stack, Kafka, Python, frameworks, AI-assisted development practices, AI-powered tools, SDLC, Agile/DevOps, source control, CI/CD, deployments, upgrades, environment stability, production operations, on-call, databases, APIs, distributed systems, messaging platforms, system integrations, security, risk, data privacy, compliance, responsible AI usage, troubleshooting, continuous learning, communication, mentoring. Could be a list. Benefits: Not mentioned explicitly. The posting does not list benefits. So we should NOT include Benefits section. Pay: Not mentioned. So no Pay section. Schedule: Not mentioned. So no Schedule section. Thus we will have sections: About the role, Responsibilities, Requirements, Qualifications, Skills. We need to ensure we don't repeat job title as heading. Not include "Java and Python Developer" as heading. We need to preserve all substantive information; do not invent or summarize away detail. Must keep all details. We need to avoid boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, application instructions. So we must remove the EEO statements, accessibility contact, equal opportunity employer, etc. Also remove "About NTT DATA" maybe we can incorporate into About the role? But we have About NTT DATA as company overview; we could include that as part of About the role or maybe a separate section "About the company"? Not in allowed headings list. Allowed headings are only those listed. So we should fold company overview into About the role paragraph. Thus About the role paragraph will include: NTT DATA overview, location, role title, etc. We must not repeat the job title as heading but can mention it in paragraph. Now we need to ensure we don't include filler like "commensurate with experience". Not present. Now produce HTML fragment. Structure:

  About the role

  ...

  Responsibilities

  • ...
  ...

  Requirements

  • ...
  ...

  Qualifications

  • ...
  ...

  Skills

  • ...
  ...
  Make sure to preserve all details from Required Qualifications, Desired Qualifications, Job Description, Job Expectations, About NTT DATA. Let's extract details. Company Overview paragraph: "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, apply now. We are currently seeking a Java and Python Developer to join our team in Charlotte, North Carolina (US-NC), United States (US). NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future." We can include that as About the role paragraph. Now Responsibilities: from Job Description bullet points: - 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 From Job Expectations bullet points (these are also responsibilities): - 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 (the text: "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 We should combine and deduplicate similar items. But we must preserve all substantive information; we can keep both sets even if overlapping. It's okay to have duplicates? The instruction says remove duplicated lines. So we should avoid duplicate bullet points. We need to check for duplicates. Let's list all responsibilities uniquely. From Job Description: 1. Lead moderately complex initiatives and deliverables within technical domain environments 2. Contribute to large scale planning of strategies 3. Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments 4. Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures 5. 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 6. Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals 7. Lead projects and act as an escalation point, provide guidance and direction to less experienced staff From Job Expectations: 8. Lead and contribute to moderate to high‐complexity technology initiatives, including new feature development, system enhancements, upgrades, and deployments 9. Design, implement, test, debug, and document robust solutions, making informed architectural decisions within established guidelines 10. 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 11. Drive adherence to engineering best practices, design patterns, coding standards, and responsible AI and data‑usage policies 12. Identify, propose, and help implement improvements to service quality, performance, stability, scalability, and developer efficiency 13. 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 14. Ensure security, compliance, and risk controls are embedded into design, development, and support activities, including appropriate handling of sensitive data when using AI tools 15. Actively participate in and lead code reviews and technical design discussions, providing clear, constructive feedback 16. Mentor and support junior engineers, sharing knowledge on technology, domain context, and effective use of AI tools 17. Build strong domain expertise in the assigned business area and help identify AI use cases that create measurable technical or business impact 18. Communicate technical status, risks, trade‑offs, and recommendations clearly to team members and stakeholders 19. Demonstrate ongoing growth in technical leadership, decision‑making, system ownership, and responsible AI usage Now check for duplicates: #1 vs #8 similar but #8 says moderate to high complexity and includes new feature development etc. Not exact duplicate. #3 vs #9 similar but #9 says robust solutions, architectural decisions. Not duplicate. #6 vs #15 similar but #15 is about code reviews and technical design discussions; #6 is collaborate with peers to resolve technical challenges. Not duplicate. #7 vs #16 similar but #16 is mentor junior engineers; #7 is lead projects and act as escalation point, provide guidance to less experienced staff. Not duplicate. #5 vs #13 similar but #13 is about investigating recurring issues and lead resolution to meet SLAs; #5 is resolve moderately complex issues and lead a team to meet client needs. Not duplicate. Thus we keep all. Now Requirements: Required Qualifications bullet: "7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education". That's one bullet. We could also include any other requirement? Not else. Now Qualifications: Desired Qualifications bullet list (many). Let's extract each bullet from the Desired Qualifications paragraph. The Desired Qualifications paragraph is a long sentence with many items separated by commas and semicolons? Let's parse: "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