• Act as the technical leader for your pod, partnering with Product to shape roadmap and delivery • Own system architecture, ensuring scalability, reliability, and performance across services • Establish and uphold best practices in system design, data integrity, and engineering quality • Lead sprint planning, technical decision-making, and release coordination • Drive clarity through strong documentation and improved engineering processes • Identify gaps in systems, processes, and architecture—and take action to address them • Improve team velocity, predictability, and execution through better planning and communication • Coach and support engineers while remaining hands-on in building and problem-solving • Build strong partnerships across Product, Engineering, and other cross-functional teams • Increase collaboration and trust across distributed teams • Raise the bar for ownership, accountability, and technical excellence across pods

• Work 100% remotely, based in Portugal; • Collaborate with global teams to develop innovative solutions; • Execute and deliver high-quality projects within established deadlines; • Participate in team meetings and contribute to technical strategy.

• Lead architectural design and technical strategy for major components of the legacy-to-serverless migration. • Direct AI agents to produce production-quality Node.js / TypeScript code - framing the work, reviewing the output rigorously, and owning the result. You hold the bar for correctness and maintainability. • Conduct deep analysis of existing systems to inform migration scope, sequencing, and risk - and verify that AI-assisted analysis is accurate before decisions are made on it. • Define data migration strategies - schema design, ETL patterns, data validation - for SQL workloads moving to modern storage solutions. • Build and maintain robust APIs, event-driven workflows (SQS, EventBridge, SNS), and integrations with external partners. • Drive technical excellence across the team: establish coding standards (for humans and AI alike), conduct design reviews, and champion automated testing. • Mentor and upskill Senior and Mid-level engineers - including how to work effectively with AI - and provide actionable feedback. • Collaborate with product, design, and QA to make sure what we deliver actually solves the business problem, with minimal disruption to production. • Support and triage production issues across legacy and new platforms during the transition period.

• Drive the future of Subquadratic’s customer-facing stack. • Architect the full-stack systems required to stream real-time audio and LLM tokens to the browser. • Build self-serve onboarding flows, interactive API playgrounds, and observability dashboards. • Partner directly with Product and Research leadership to translate experimental AI capabilities into stable, production-ready product features.