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Lead software consulting engagements involving hands-on development, architecture, client workshops, technical decision-making, mentoring, and engineering practice improvement. Apply DDD, Clean Architecture, TDD, BDD, automated testing, Agile, cloud, DevOps, and AI-assisted development practices across client and internal projects. The role is hybrid in the São Paulo area, requiring regular work from client offices.

Design, build, operate, and improve TypeScript and Node.js services on AWS serverless infrastructure for a regulated financial platform. Own production SLAs, architecture, documentation, incident management, testing, observability, and performance. Collaborate with product and operations, mentor engineers, explain technical systems to non-technical colleagues, and lead delivery in a build-and-run environment.

Lead application modernisation architecture across pre-sales and delivery engagements. Design target architectures, migration strategies, and incremental approaches for legacy systems while maintaining business continuity. Conduct client workshops, explain technical solutions to non-technical stakeholders, scope work, estimate proposals, and support bids. Deliver hands-on architecture, decomposition, migration, and re-platforming work; advise on AI tooling; establish engineering standards; mentor engineers; and transfer knowledge to client teams.

Manages client engagements across multiple technical and product projects, building stakeholder relationships, identifying account-development opportunities, overseeing delivery, and managing risks and team dependencies. Contributes to proposals, business development, marketing, and internal engagement-management capabilities. Coaches and mentors teams while facilitating alignment, communication, and continuous learning.

Design, build, and operate production-grade LLM applications, agentic workflows, AI assistants, RAG systems, and conversational products. Develop state-machine infrastructure, tool-use integrations, model evaluation and observability systems, resilience mechanisms, APIs, React interfaces, async workloads, caching, and database persistence. Troubleshoot production AI issues and optimize quality, latency, reliability, throughput, and cost across multiple model providers.

Owns end-to-end new-business generation for complex, high-value software consultancy engagements. Responsibilities include prospecting, qualifying opportunities, building and converting pipelines, consultative selling to CTOs, CIOs, and boards, managing multi-stakeholder sales cycles, reporting against targets, shaping proposals with technical teams, and developing referral networks.

The Principal Software Engineer will lead client engagements, mentor teams, and ensure technical decisions align with business objectives, focusing on software craftsmanship and modernization.