Summary: Seeking a Principal Engineer to set the technical direction for AI-assisted engineering within the Platform Team, owning architectural design and evolving core data infrastructure. Highlights: 1. Shape core Python-based extraction and load infrastructure 2. Lead modernization to scalable, AI-native infrastructure 3. Mentor engineers on AI-assisted development practices We're a fast\-growing Series A startup ($34M raised, $10\.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500\+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI\-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. **About the Role** You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python\-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI\-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands\-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. **Responsibilities** * Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500\+ integrations at scale + Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) + Lead modernization of legacy systems (LES, DSAS, ULS) into scalable, AI\-native infrastructure * Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI\-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails + Make and document key technical decisions; set the bar for code quality, system reliability, and performance * Mentor and level up engineers on AI\-assisted development practices — help them ship faster without introducing hidden risk * Collaborate cross\-functionally with product and AI teams on agentic framework rollout and new integration capabilities **Requirements** * 7\+ years of backend engineering (hands\-on programming), with at least 2 years in a principal/architect\-level role owning production systems * You've designed and scaled complex systems, not just maintained them * Hands\-on experience with AI\-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout * Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) * Experience building secure systems that are hard to break, hard to breach, and resilient * Experience with reliability practices at scale: observability, alerting, incident response * Solid SQL and query optimization across PostgreSQL and ClickHouse * Comfortable with ambiguity and high\-velocity, fast\-shifting priorities — we move like a startup, not a committee * Ability to work within EST timezone * Fluency in English **Nice to Have** * Track record of defining engineering standards and driving adoption across a team * Experience migrating legacy pipeline systems * Background in data integration or ETL infrastructure **What We Offer** * Remote\-first environment * Direct impact on platform architecture — your decisions matter * Modern AI\-native tech stack with real freedom to experiment * 20 PTO days \+ US holidays * Stock options * Professional development reimbursement * Optional relocation assistance to Latin America after trial period AEUKYy1chG
Sofía González
Indeed · HR
Sofía González
Indeed · HR
