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.

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. ~ 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. ~ 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. ~10+ years of software engineering experience, with significant experience in architecture and distributed systems. ~ Strong expertise in Java and Spring Boot. ~ Robust experience with AWS cloud architecture. ~ Strong understanding of system scalability, reliability, security, observability, and performance. ~ Experience designing data platforms and architectures supporting AI/ML inference and model serving. ~ Ability to translate ambiguous business and technical requirements into clear architecture and implementation strategies. ~ Demonstrated ability to influence engineering teams and technical stakeholders through architecture and technical leadership. JavaScript / TypeScript experience. Python and data engineering experience.

Databricks or similar AI/data platforms.

Experience with ML model registries and feature stores.

Experience with network/platform services. Open‑source contributions or community involvement.

Experience working in startup or highly agile environments. #

📌 Java Software Architect (LaSalle)
🏢 High Tech Genesis
📍 LaSalle