Java Software Architect

Role Overview We are seeking an experienced Java Software Architect to provide technical architecture and design leadership across distributed backend systems, cloud platforms, edge computing, and AI/ML capabilities. The successful candidate will define scalable technical solutions, establish architecture patterns, guide engineering teams, and ensure systems are designed for performance, reliability, security, and long-term scalability. This role requires strong Java expertise combined with broad architectural knowledge across cloud, APIs, distributed systems, data platforms, and modern AI/ML environments. Key Responsibilities Define end-to-end architecture for distributed backend, cloud, edge, and data platforms. Develop technical architecture strategies, solution designs, and integration patterns. Establish architectural standards and best practices for Java, Spring Boot, microservices, APIs, and event-driven systems. Provide technical direction for AWS-based solutions across compute, storage, networking, IAM, and observability. Design architecture for edge and CDN-based processing environments. Define integration patterns for third-party vendors, identity services, authentication, and secure data exchange. Guide the design of data platforms supporting ML inference, feature pipelines, model serving, and AI/ML integrations. Evaluate and recommend technologies, frameworks, storage solutions, messaging platforms, and integration approaches. Lead architecture reviews and technical design sessions with engineering and cross-functional teams. Identify architectural risks, scalability concerns, security requirements, and technical dependencies. Establish patterns for reliability, observability, performance, security, and governance. Partner with engineering, data science, product, and other technical teams to translate business requirements into scalable technical solutions. Provide hands-on technical guidance and participate in implementation where required. Support greenfield initiatives and evolving technical environments where requirements may be ambiguous.