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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

About the Role-

Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.

Reason to Join-

An opportunity for innovators, problem solvers & learners.  Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.

Requiremets and Responsibilities- (please read carefully before applying)

• The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
• Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
• Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
• Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
• Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
• Design, implement, and deploy highly scalable and reliable systems.
• Troubleshoot Solr indexing process and querying engine.
• Bachelors or Masters in Computer Science from Tier 1 Institutions