Hyderabad · Executive
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In this role, you will design and evolve systems that power the end-to-end rental lifecycle—including reservations, pricing engines, fleet allocation, counter workflows, customer identity, and mobile booking journeys. You will work across a highly distributed environment supporting multi-brand, multi-country, and franchise operations with complex regulatory and operational requirements.
Your day will involve working closely with Product, Engineering, and Operations teams to translate business needs into scalable, resilient, and secure system designs. You will lead architecture discussions, review designs and code, define API contracts, and ensure alignment across multiple engineering teams.
You will play a key role in modernizing legacy systems into cloud-native, microservices-based, and event-driven architectures, ensuring high availability, performance, and extensibility. You will also guide teams on adopting best practices around observability, fault tolerance, and CI/CD pipelines.
A significant portion of your time will be spent mentoring engineers, influencing technical decisions, and ensuring consistency across platform architecture, while balancing immediate delivery needs with long-term strategic goals.
· Define and own end-to-end architecture across Rental (RAC) and Digital platforms, including backend services, APIs, and frontend integrations
· Design and implement cloud-native architectures using microservices, serverless patterns, and distributed systems
· Establish and govern API-first design principles and integration patterns across systems (REST, GraphQL, event streaming)
· Drive adoption of event-driven architecture (Kafka or equivalent) to enable scalable, loosely coupled systems
· Lead architecture for key platform capabilities including:
o Reservations and booking orchestration
o Pricing and rules engines
o Fleet and availability systems
o Customer profiles and identity
o Mobile and web experiences
· Ensure systems are designed for high availability, scalability, fault tolerance, and performance optimization
· Define standards for security, compliance, and data governance across platforms
· Collaborate with engineering teams through design reviews, code reviews, and hands-on technical guidance
· Guide adoption of DevOps practices, including CI/CD, infrastructure as code, and observability tools
· Evaluate and recommend new technologies, frameworks, and tools aligned with platform strategy
· Partner with Enterprise Architecture to align with broader technology strategy and shared services
· Leverage and promote AI-enabled development, automation, and intelligent system design practices
· Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
· 10–15+ years of experience in software engineering and architecture
· Proven experience designing and implementing large-scale, distributed systems
· Strong expertise in:
o Java, Spring Boot, and backend architectures
o RESTful APIs, GraphQL, and integration patterns
o Microservices and event-driven systems
· Hands-on experience with cloud platforms (AWS preferred; Azure/GCP acceptable)
· Strong understanding of:
o System design principles (scalability, consistency, resilience)
o Data modeling and database technologies (SQL/NoSQL)
o Messaging systems (Kafka, RabbitMQ, etc.)
· Experience with frontend and mobile integration patterns (React, React Native preferred)
· Knowledge of DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)
· Strong problem-solving skills and ability to evaluate technical trade-offs
· Excellent communication skills with ability to influence across teams and stakeholders
· Experience working in Agile/Scrum environments with globally distributed teams
· Familiarity with security best practices (OAuth2, JWT, Zero Trust concepts)
· AI practitioner, AI-aware, and enthusiastic about applying AI in architecture, development, and platform modernization
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Roles and Responsibilities:
Key Skills:
1) Java, JDK & JVM
2) Spring Ecosystem (MVC, Boot, Cloud, Security, AI)
3) Coding & Problem Solving
Purpose of Coding Evaluation
Before implementing any solution, the candidate is expected to clearly explain design choices and architectural trade‑offs, such as:
4) Microservices, Distributed Systems & Messaging (Kafka / RabbitMQ / MQ)
5) Architecture & Design Patterns (incl. scalability & observability)
Mandatory Skills: Fullstack Java Enterprise .
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