Deloitte—Deputy Manager | Technical Architect | Hyderabad | Engineering as a Service/ Operate

Job description

Description: A Day in the Life 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. 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: 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 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: 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 --------------------------- - Role: Technical Architect - Experience: 10-12+ Years - Location: Hybrid - Hyd - Employment Type: Full-time - Roles And responsibilities Roles and Responsibilities: - Collaborating with decision-makers and management to comprehend the organization’s software architecture requirements. - Designing and developing software architecture aligned with organizational specifications. - Leading the development team and ensuring adherence to industry-standard best practices. - Evaluating and enhancing the tools and frameworks utilized in software development. - Managing multiple development projects and ensuring their prompt completion. - Troubleshooting issues within the software systems effectively. - Ability to proactively coordinate with team members, assist when needed, and take - necessary steps to complete tasks on time. - Capability to delve into details and explain the importance of each activity to team members. - Keeping all stakeholders updated on task progress. - Ensuring adherence to processes throughout the lifecycle. - Ownership of responsibility for code quality, application security, functionality, and code performance. - Designing, coding, and debugging products and features. - Analyzing and resolving technical queries from the team. - Collaborating effectively with cross-functional teams such as Product Management, Business Development, and Operations. - Working with frontend engineers to implement features. - Designing appropriate solutions/architecture for products/features based on requirements, estimating efforts, and managing development. - Managing and enhancing systems by innovating and implementing best practices. Key Skills: 1) Java, JDK & JVM - Expert Java 8+ with deep JVM internals, GC, classloading, memory management, tuning - Advanced concurrency: Executor/ForkJoin, locks, concurrent collections, Java memory model, non-blocking programming 2) Spring Ecosystem (MVC, Boot, Cloud, Security, AI) - Expertise in Spring Boot, MVC, Cloud, Security, Data JPA, Batch; REST/SOAP/GraphQL with API governance - Secure APIs using OAuth2/OIDC/JWT/TLS/mTLS; OWASP, secrets management, secure coding - Spring Cloud hands-on: Config/Gateway/Circuit Breaker/Discovery patterns - Design and development of REST/SOAP/GraphQL APIs with best practices for API versioning and documentation (Swagger/ OpenAPI) 3) Coding & Problem Solving Purpose of Coding Evaluation - Coding is mandatory, but is used primarily to validate design thinking, architectural reasoning, and correctness, rather than pure DSA skills - Evaluation focuses on design trade‑offs, extensibility, reliability, and correctness, over algorithmic optimization alone - Problems typically involve refactoring, abstraction, concurrency, distributed system concepts, or observability‑aware design - Note for Coding Exercises: Before implementing any solution, the candidate is expected to clearly explain design choices and architectural trade‑offs, such as: - Simplicity vs extensibility - Consistency vs availability - Performance vs maintainability 4) Microservices, Distributed Systems & Messaging (Kafka / RabbitMQ / MQ) - Define solution blueprints/reference architectures; microservices patterns; event-driven design; service mesh concepts - Distributed transaction thinking: ACID/CAP/eventual consistency; saga patterns; reliability strategies - Kafka/RabbitMQ depth: streaming, partitioning, reliability patterns 5) Architecture & Design Patterns (incl. scalability & observability) - SOLID, DDD, hexagonal architecture; architecture trade-offs and decisions Mandatory Skills: Fullstack Java Enterprise .