Full Stack Product Engineer, Agent Native

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🕒 May 5

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Mactores

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

🏢 Enterprise

Enterprise • Data

Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.

📋 Description

• Own feature delivery for the Aedeon product: findings dashboard, agent pipeline UI, onboarding, workspace management, and the upcoming features planned in the pipeline. • Build entirely through agentic coding workflows. Write specs and tests, let agents implement, review, and ship. • Set up and enforce test-driven development across the product codebase. Choose the tools, define coverage thresholds, and integrate into CI. If it's not tested, it doesn't merge. • Instrument engineering performance test coverage, deployment frequency, sprint velocity, and defect rates. No metric, no claim. • Release to production every sprint. No carry-overs, no "almost done." • Work alongside 2 existing full-stack engineers. Your workflow, your test discipline, and your velocity set the standard. • Collaborate with the agent engineering team to surface pipeline outputs, code intelligence graphs, findings, and migration recommendations in the product UI.

🎯 Requirements

• 4+ years building production web applications. React and Node.js (MERN stack). TypeScript. • Agentic coding is your daily workflow, not experimental, not occasional. You can demonstrate the output difference. • You've built testing infrastructure from scratch, framework selection, coverage gates, CI integration, and team adoption. • You think in metrics. You've tracked engineering performance before and made decisions from the data. • You ship consistently. Steady, reliable output every sprint, not bursts followed by silence. • You make the team faster, not just yourself. Your PRs teach. Your setups become team infrastructure. Your patterns get adopted. • Opinionated about quality, pragmatic about scope.