Software Architect (Java/SaaS)

TL;DR

Software Architect (Java/SaaS): Shaping the technical direction of large-scale, enterprise-grade platforms with an accent on scalability, security, and high performance. Focus on transitioning from database-centric logic to service-oriented architectures and defining AI-assisted development standards across the organization.

Location: Remote (Must be based in Brazil)

Company

hirify.global is a GPTW-certified staff augmentation and employer-of-record provider connecting top Brazilian talent with US-based software product companies.

What you will do

• Partner with Principal Architects and Product teams to define and execute technical roadmaps and modernization initiatives.
• Produce High-Level Designs (HLDs), including architecture diagrams, sequence flows, and interface definitions.
• Define and maintain shared libraries, frameworks, and "Golden Paths" to align over 10 engineering teams.
• Lead design reviews and act as the final technical reviewer for complex implementations.
• Build Proof of Concepts (PoCs) to validate new technologies, integrations, and tools.
• Define AI architecture standards for the use of LLMs and AI-assisted tools across the SDLC.

Requirements

• 8+ years of experience in software engineering with strong hands-on Java development.
• Proven track record of designing and delivering enterprise-scale SaaS applications.
• Expertise in Distributed Systems, Microservices Architecture, and Event-Driven Design.
• Proficiency in Java 17/21+ and Spring Boot 3.x.
• Advanced knowledge of Oracle RDBMS and PL/SQL, including complex data modeling.
• English proficiency at C1 level (written and verbal).

Nice to have

• Experience modernizing legacy systems (e.g., Oracle ADF to microservices).
• Hands-on experience with AWS (ECS, RDS, Lambda) and Terraform.
• Experience with message brokers like RabbitMQ in high-concurrency systems.
• Knowledge of security standards including OAuth2/OIDC and multi-tenant architectures.

Culture & Benefits

• Opportunity to influence architecture across multiple product domains and teams.
• Work on large-scale modernization initiatives in a real enterprise environment.
• Direct involvement in defining AI adoption in software engineering at scale.
• Culture that values autonomy, technical excellence, and innovation.