Solutions Architect

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Take ownership of the solution and platform architecture for intricate DataHub and mapper projects, establishing RFCs, reference designs, and scalable solutions.

• Serve as the main technical liaison between ESS and the Brazil team, aligning both enterprise and regional priorities while addressing architectural trade-offs.

• Conduct architecture reviews and offer technical guidance to various teams, ensuring high-quality and uniform design choices.

• Propel platform development, enforce secure deployment practices, and optimize for performance, reliability, and cost efficiency.

• Maintain a hands-on approach with AI-native engineering (agents, LLMs, MCP, and agentic workflows), applying these methodologies in practical solutions.

• Collaborate with global teams (KL DataHub, ESS, and other regions) to ensure alignment and mitigate architectural drift.

• Mentor engineers at all levels, enhancing their understanding of architecture, design thinking, and production excellence.

• Collaborate on reliability and operations, including observability, incident reviews, and implementing long-term fixes for critical systems.

• Foster inner-source practices and integration strategies to enhance reuse and consistency across global DataHub projects.

⛳️ Requirements

• Extensive experience in software engineering, solution architecture, or platform engineering.

• Proficient in system design, distributed systems, and large-scale backend architectures.

• Strong background in Java, Spring Boot, microservices, and API design (OpenAPI).

• In-depth knowledge of AWS, Kubernetes/EKS, containers, and contemporary cloud-native architectures.

• Significant experience in CI/CD, deployment pipelines (Jenkins), and release strategies including rollback and environment promotion.

• Expertise in security architecture and code quality tools (e.g., SonarQube, Veracode, or Checkmarx).

• Proven capability to enhance performance, scalability, reliability, and cost efficiency.

• Experience in leading architecture discussions, drafting RFCs, and influencing technical decisions across teams.

• Strong collaboration abilities in global environments, engaging with various regions and stakeholders.

• Advanced English proficiency (mandatory) and Portuguese for local collaboration.

• Nice to have: Experience with machine learning (serving, pipelines, or MLOps).

🏝️ Benefits

• Experian’s people-first, inclusive, and purpose-driven culture.

• Diversity initiatives to support inclusive recruitment and professional development (ExperianPride, Ubuntu, Women in Experian, Aspire, Connecting Generations).