
Director of Engineering — Flights Platform
AI-First Travel Commerce · High-Scale Distributed Systems · Marketplace Infrastructure
🌏 The Problem Space
A flight search looks trivially simple. It is anything but.
Every query you fire triggers a choreography of distributed systems operating in real-time — integrating with a dozen airline GDS/NDC providers, computing dynamic fares across inventory buckets and fare rules, ranking thousands of itineraries by relevance and business intent, and returning a ranked, priced, bookable result set — all in under 100ms.
→ Millions of search queries per minute
→ <100ms end-to-end SLA with external API dependencies
→ High-value transactions — a bug here means a missed booking, not a failed render
→ Pricing errors erode trust faster than any other failure mode
We are rebuilding the Flights platform as a real-time commerce engine for Bharat — AI-native from day zero, built to power both B2C consumer journeys and high-stakes B2B enterprise corridors.
This is a once-in-a-decade opportunity to build national-scale flight infrastructure from first principles.
🧠 What You Will Own
You will own the full Flights platform — systems, architecture, and the teams that build them.
Core System Domains:
•Search Systems — high-throughput, low-latency query pipelines returning ranked, bookable options
•Pricing & Fare Engine — dynamic pricing logic, fare rules, promotional overlays, and real-time validation
•Booking & Ticketing — transaction-critical flows requiring strict consistency, idempotency, and zero data loss
•Airline Integrations — managing unreliable external GDS/NDC APIs with retries, circuit-breakers, and reconciliation
•Post-Booking Flows — cancellations, modifications, refunds — correctness at the margin is non-negotiable
Platform Scope:
•High-scale APIs serving consumer apps, B2B enterprise clients, and third-party partners
•Event-driven state machines managing booking workflows across async boundaries
•Observability and reliability infrastructure across all mission-critical flows
Team Scope:
•Lead 15–30+ engineers across multiple product and platform teams
•Manage Engineering Managers and Principal/Staff engineers
•Own hiring, org design, and technical direction
⚙️ Core Engineering Challenges
This role is fundamentally about making the right trade-offs under uncertainty — at scale.
Latency vs. Accuracy — when do you serve a cached fare vs. call a live airline API?
Availability vs. Consistency — graceful degradation at booking time vs. strict price validation
Cost vs. Performance — when is an external API call worth it vs. a cache hit?
Scalability vs. Simplicity — the best system is the one your team can reason about under incident
🤖 AI-First Engineering
AI is not an afterthought. It is load-bearing architecture.
•LLM-powered pricing intelligence — dynamic fare prediction and demand signals
•RAG pipelines for fare rules, refund policy, and support automation
•Agentic booking resolution workflows — autonomous exception handling at scale
•MCP-based orchestration layers for multi-provider integration
⚖️ Key Responsibilities
Architecture & Distributed Systems
•Design and evolve sub-100ms distributed query systems serving millions of concurrent searches
•Build fault-tolerant booking pipelines with strong consistency and durability guarantees
•Drive Kafka-based event architectures for booking state management
Reliability & Observability
•Own 99.99%+ availability for booking and pricing systems
•Build deep observability — metrics, distributed tracing, structured logging, SLOs/SLAs
•Lead post-incident reviews and drive systemic reliability improvements
Business Partnership
•Partner with Product, Revenue, and Partnerships to translate commercial goals into architecture
•Influence platform roadmap, supplier strategy, and long-term technical investment
🛠️ Technology Stack
Backend: Java · Kotlin · Go · Python
Architecture: Microservices · Event-Driven (Kafka) · gRPC
Data: Redis · Aerospike · DynamoDB · Elasticsearch
Cloud: AWS (EKS, EC2, S3)
Observability: Prometheus · Grafana · OpenTelemetry
👤 Who You Are
•12–16 years in backend/distributed systems; 5+ Years in an Engineering Leadership role, led teams of 15–50 engineers
•Built and scaled large B2C + B2B platforms — Travel Tech, FinTech, or high-scale Consumer
•Deep expertise in real-time systems, marketplace dynamics, and external API integration
•Tier-I institute background strongly preferred (IIT / IIIT / NIT / IISC / BITS / VIT / SRM — CSE/ISE)
🚀 Why This Matters
Build national-scale infrastructure for 1.4 billion people
Sit at the intersection of AI · distributed systems · marketplace economics
Define the future of travel commerce in India — from architecture to product

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Senior Dev with 5 years relevant experience
1. Working experience on web development using Python/Django
2. Comfortable with using Django framework.
3. Understanding of web servers
4. Knowledge in PostgreSQL, MySQL, and other database queries
5. Experience in using Redis cache.
6. Understanding of web technologies
7. Experience in REST API development using Django.
8. Strong hold on Apache
9. Integration of data storage solutions
10. Able to integrate multiple data sources and databases into one system
11. Understanding of JavaScript, and front-end JS frameworks like VueJS, React JS and Angular JS
12. Good communication skill
13. .net/.NET core will be an added advantage
Daily 50 to 80 calls to customer for Software service sales.
Good Communication
Basic Computer Skills
REady to work on Targets










