Location: Bangalore
Experience: 5-7 Years

In addition to core TPF expertise, the candidate should be capable of leveraging AI-assisted development tools, Generative AI technologies, and intelligent automation solutions to improve productivity, code quality, troubleshooting efficiency, and system reliability.

This role involves developing, enhancing, and supporting high-volume transaction processing applications that power global airline and travel operations.

Key Responsibilities

TPF Application Development

- Design, develop, enhance, and maintain TPF applications supporting airline and travel business operations.
- Develop high-performance transaction processing programs using:
- TPF
- TPFDF
- TPFC
- Assembler
- C/C++

- Support critical systems related to:

- Reservations
- Ticketing
- Inventory
- Availability
- Passenger Services
- Check-In
- Loyalty Programs
- Ancillary Services

- Translate business requirements into scalable technical solutions.

Travel Domain Solution Delivery

- Collaborate with Product Owners, Business Analysts, and Architects to deliver travel industry solutions.
- Analyze airline reservation and transaction workflows.
- Understand and support integrations with:
- Sabre
- Airline Reservation Systems
- Inventory Management Systems
- Passenger Service Systems (PSS)
- Distribution Platforms

- Participate in application modernization initiatives involving legacy TPF systems.

Application Support & Troubleshooting

- Perform production support activities.
- Troubleshoot and resolve complex TPF production issues.
- Conduct root cause analysis for performance and availability incidents.
- Analyze dumps, traces, logs, and transaction failures.
- Ensure optimal application performance and reliability.

Software Engineering Best Practices

- Participate in:
- Code Reviews
- Design Reviews
- Technical Documentation
- Knowledge Sharing Sessions

- Follow SDLC, Agile, and DevOps best practices.
- Ensure maintainability, scalability, and performance of solutions.

AI-Enabled Development Responsibilities

AI-Assisted Software Engineering

- Utilize AI-powered coding assistants to accelerate development and troubleshooting activities.
- Leverage Generative AI tools for:
- Code generation
- Code modernization
- Technical documentation
- Unit test generation




- Root cause analysis
- Knowledge discovery
- Code optimization

- Improve engineering efficiency through AI-driven development workflows.

Legacy Modernization Using AI

- Use AI tools to analyze and document legacy TPF applications.
- Assist migration and modernization initiatives involving:
- TPF to Cloud integrations
- TPF API Enablement
- Legacy Code Analysis
- Application Refactoring

- Support AI-assisted impact analysis and dependency mapping.

Intelligent Operations

- Utilize AI tools for:
- Incident Analysis
- Performance Monitoring
- Log Intelligence
- Automated Troubleshooting
- Knowledge Management

- Participate in AI-driven operational excellence initiatives.

Mandatory Skills

TPF Technologies

- Strong hands-on experience with:
- IBM TPF (Transaction Processing Facility)
- TPFDF (TPF Data Facility)
- TPFC (TPF Control)

- Experience developing and supporting large-scale transaction processing applications.

Programming Skills

- TPF Assembler
- C
- C++
- JCL (Preferred)
- Strong debugging and performance analysis skills.

Travel Domain Knowledge

Hands-on experience in one or more of the following:

- Airline Reservations
- Ticketing
- Inventory & Availability
- Passenger Services
- Departure Control Systems
- Loyalty Programs
- Travel Distribution

Experience with Sabre ecosystem is highly desirable.

Software Development

- Application Design
- SDLC
- Agile Methodologies
- Testing & Debugging
- Production Support

AI & Generative AI Skills (Mandatory)

AI-Assisted Development Tools

Experience using:

- GitHub Copilot
- Microsoft 365 Copilot
- ChatGPT Enterprise
- Gemini Code Assist
- Cursor AI

Ability to leverage AI tools for:

- Code generation
- Technical documentation
- Test case creation
- Troubleshooting
- Code reviews
- Refactoring

Generative AI Knowledge

Good understanding of:

- Generative AI Concepts
- Large Language Models (LLMs)




- Prompt Engineering
- AI-Assisted Software Development
- Knowledge Retrieval Systems

AI-Driven Legacy Modernization

Knowledge of utilizing AI for:

- Legacy Code Analysis
- Reverse Engineering
- Impact Analysis
- Documentation Generation
- Application Modernization

Preferred Skills

Contemporary Integration Technologies

- REST APIs
- Microservices
- Event-Driven Architecture
- Kafka
- MQ Series

Cloud Exposure

Experience or exposure to:

- Google Cloud Platform (GCP)
- Microsoft Azure
- AWS

DevOps

- Git
- Jenkins
- GitHub Actions
- CI/CD Pipelines

AI Tools Knowledge Expected

AI Coding Assistants

- GitHub Copilot
- Microsoft Copilot
- Gemini Code Assist
- Cursor AI
- ChatGPT Enterprise

AI Productivity Tools

- Microsoft 365 Copilot
- Confluence AI
- Jira AI
- ServiceNow AI

AI-Powered Operations

- Dynatrace Davis AI
- Splunk AI
- Datadog AI
- New Relic AI

Agentic AI Frameworks (Preferred)

- LangChain
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel

Qualifications

- Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field.
- 5-7 years of experience in TPF development.
- Proven experience in Airline, Travel, or Hospitality domain.
- Strong exposure to mission-critical production systems.
- Excellent analytical and problem-solving skills.
- Ability to work independently and collaboratively within cross-functional teams.

Competency Level Required

Overall Competency: Proficient

Competency Area

Required Level

TPF

Proficient

TPFDF

Proficient

TPFC

Proficient

Airline/Travel Domain

Proficient

Application Debugging

Proficient

Production Support

Proficient

SDLC & Agile

Proficient

Legacy System Modernization

Proficient

AI-Assisted Development

Proficient

Prompt Engineering

Proficient

Generative AI

Proficient

Documentation & Knowledge Management

Proficient

Preferred Airline/Travel Business Areas

- Reservations
- Ticketing
- Check-In
- Departure Control
- Inventory & Availability
- Loyalty
- Schedule Change
- Offers & Ancillary Services
- Travel Commerce
- Passenger Service Systems (PSS)

Skills Required:

TPF, TPFDF, TPFC

Location:

Greater Noida

Desirable Skills:

DATA MODELING

Designation:

TECHNICAL LEAD

📌 SENIOR TECHNICAL LEAD (Greater Noida)
🏢 Coforge
📍 Greater Noida