SENIOR TECHNICAL LEAD

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

Modern 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