
Java Architect
- Hyderabad, Telangana
- Permanent
- Full-time
- Define and execute the technical strategy and architecture for a secure, scalable, and high-performance FinTech application.
- Lead the architectural design and implementation of complex, large-scale systems, ensuring alignment with business goals and long-term vision.
- Conduct in-depth architectural reviews and provide technical guidance to multiple engineering teams, ensuring the entire system adheres to architectural principles.
- Stay updated on emerging technologies and industry trends, integrating innovative solutions where applicable to maintain a competitive advantage.
- Translate complex technical challenges into actionable business solutions for a wide range of stakeholders.
- Lead the design, development, and deployment of mission-critical Java-based microservices using Spring Boot, Hibernate, and RESTful APIs.
- Architect and maintain microservices-based systems on cloud platforms such as Azure, AWS, or GCP.
- Design for fault tolerance, scalability, and low-latency systems that can handle high transaction volumes and high-throughput workloads.
- Design and manage complex data storage solutions, including SQL/NoSQL databases, and optimize them for large-scale data processing and performance.
- Architect and implement robust authentication, authorization, and encryption mechanisms for secure data transactions.
- Lead, mentor, and grow multiple teams of high-performing engineers, fostering a collaborative and innovative work culture.
- Define and enforce coding standards, design principles, and best practices across the engineering department to ensure a high-quality codebase.
- Guide engineers in complex software design, code reviews, debugging, and performance optimization.
- Promote an Agile and DevOps culture, encouraging ownership, accountability, and seamless cross-functional collaboration.
- Architect and enforce security best practices to ensure that applications comply with financial regulations, data security, and privacy standards (GDPR, PCI DSS, etc.).
- Proactively manage technical risks, vulnerabilities, and security incidents by designing resilient and secure systems from the ground up.
- Ensure that the Software Development Lifecycle (SDLC) adheres to industry best practices and compliance guidelines.
- Education: Bachelor's degree in computer science, Information Technology, or a related field.
- Experience: 15+ years of experience in Java development, with a minimum of 5 years in an Architectural or Solutions Architect role.
- Technical Expertise:
- Expert-level knowledge of the Java ecosystem, including Spring Boot, Hibernate, and microservices architecture.
- Proven ability to design and deploy secure applications in a regulated environment.
- Hands-on experience with SQL/NoSQL databases, data modeling, and performance optimization for large-scale data processing.
- Deep knowledge of RESTful APIs, messaging systems like Kafka, and other integration patterns.
- Cloud & DevOps:
- Extensive experience architecting and implementing solutions on at least one major cloud platform (AWS, GCP, or Azure).
- Expertise in containerization and orchestration using Docker and Kubernetes.
- Proficiency in designing and managing CI/CD pipelines with tools like Git and Jenkins.
- Soft Skills: Strong leadership, communication, and stakeholder management skills. Proven ability to mentor, coach, and guide technical teams.
- Payment Tokenization and MDES: Proven experience with payments tokenization systems and a deep understanding of the Mastercard Digital Enablement Service (MDES), including its APIs and integration patterns.
- Secure Credential Provisioning: Expertise in secure credential provisioning, token management, and compliance with industry standards like EMVCo and PCI DSS.
- Azure Cloud Expertise: Proficient in using Azure services like Azure Functions, Azure Key Vault, and Azure App Service to build scalable and resilient payment processing applications. A strong grasp of cloud security principles and best practices for handling sensitive data is essential.
- Big Data: Knowledge of big data and real-time processing solutions such as Hadoop, PySpark.
- Full-Stack: Familiarity with front-end frameworks like React.