Randstad
Technical Architect - Full Stack
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Hybrid
Published on:
11 September 2026
What they need
A Day in the Life
In this role, you will design and evolve systems that power the end-to-end rental lifecycleincluding 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.
What You Will Do
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:
Reservations and booking orchestration
Pricing and rules engines
Fleet and availability systems
Customer profiles and identity
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
What We’re Looking For
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:
Java, Spring Boot, and backend architectures
RESTful APIs, GraphQL, and integration patterns
Microservices and event-driven systems
Hands-on experience with cloud platforms (AWS preferred; Azure/GCP acceptable)
Strong understanding of:
System design principles (scalability, consistency, resilience)
Data modeling and database technologies (SQL/NoSQL)
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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