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Salary
$60k – $145k per year (Estimated)
Location
Remote/Hybrid (São Paulo, Brazil)
Seniority
Architect · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
PALO IT is a global innovation consultancy and agile software development company that helps organizations leverage technology for positive social and environmental impact. Founded in 2009, the B Corp-certified firm specializes in custom software engineering, human-centered design, digital transformation, and sustainable tech strategy. Operating across offices in Asia-Pacific, Europe, and the Americas, it partners with enterprises and startups to co-create sustainable business models and scale digital products.

Who We Are Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach-Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

  • We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)

  • We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

  • We are robust and resilient (100% independent, 0 debt, founded 2009)

  • We are AI-native professionals who invest in what we believe and work as a collective intelligence

  • We are positive, courageous and deliver at the leading edge.

Your Role

As a Software architect with a strong AI coaching, you will lead the technical delivery of digital products end-to-end-hands-on when needed while guiding teams toward scalable, secure, and maintainable solutions.

Key Responsibilities

  • Lead the design and evolution of technology solutions, ensuring scalability, performance, security, and maintainability.

  • Drive architectural decisions and trade-offs (e.g., microservices vs modular monolith), applying patterns such as DDD, Clean/Hexagonal Architecture, and event-driven approaches when relevant.

  • Design, build, and evolve REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.

  • Define and enforce engineering standards: clean code, testing strategy, code reviews, observability, security practices, and CI/CD.

  • Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.

  • Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.

  • Encourage AI-first engineering practices (Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.

Who You Are

  • 10+ years of software engineering experience with proven technical leadership (Tech Lead, Lead Engineer, or strong senior with leadership responsibilities).

  • Strong backend expertise in Java (ideally 17/21/25+) with solid testing practices (e.g., JUnit/Mockito ) and performance awareness.

  • Proven ability to design and communicate software architecture: microservices/modular monoliths, Clean/Hexagonal, SOLID principles, integration patterns, and API design.

  • Strong engineering fundamentals: CI/CD, Git workflows, code review practices, observability (logs/metrics/traces), and a secure-by-design mindset.

Nice to have / Strong plus

  • Kafka/RabbitMQ, event-driven architectures, CQRS, saga/outbox patterns.

  • Docker/Kubernetes, Terraform/IaC, and cloud experience (AWS/Azure/GCP).

  • OAuth2/OIDC, JWT, and security best practices (OWASP).

  • Experience in high-traffic systems, performance tuning, and caching strategies.

  • Experience working in AI-assisted engineering environments and setting quality/security guardrails.

  • Excellent communication and stakeholder management skills; able to influence decisions and align teams.

  • Professional English (B2+ preferred) for global collaboration and documentation.

AI-Native Engineering (Core Expectation)

  • Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:

  • Code scaffolding and refactoring

  • Code generation and optimisation

  • Test-cases and documentation generation

  • Build applications through AI-driven development practices, including:

  • AI-assisted debugging and troubleshooting

  • Intelligent code completion and pattern recognition

  • Automated documentation generation

  • Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

  • Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

  • Stimulating working environments

  • Unique career path

  • International mobility

  • Internal R&D projects (including Gen-e2™)

  • Knowledge sharing

  • Personalized training via PALO IT Academy

  • Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

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