Location: Remote — Latin America (LatAm) preferred, with reliable overlap on US business hours required • Reports to: Head of Engineering • Type: Full-time • Created: June 2026

🚀 We're building AI agents for performance marketing.

Plurio is the AI agent for media buying teams running $300K–$15M/month on Google, Meta, and TikTok. It connects to your internal backend data and your ad accounts, automates analysis and optimization, saves 50% of time, and boosts ROAS by 10–30%. 

Plurio transforms how media buying teams work:

  1. From manually analyzing dashboards → to the AI agent doing deep data research in minutes.
  2. From manually adjusting budget → to the agent suggesting optimal split at channel, campaign, and ad-set level.
  3. From manually killing / scaling / relaunching creatives → to agents autonomously performing those actions in ad platforms, based on full-funnel data.
  4. From decisions made with gut feeling → to agents optimizing automation rules with historical data and ML models.

Our agents already run $500M+/year in ad spend. Since our public release in March, our customer base has grown 4× in 10–12 weeks.

Our goal — and the mission we'd build together — is the autonomous user acquisition factory that runs 10× better than anything that came before, growing budgets under management to $30B/year.

🚀 The Role

Plurio runs on real, production-grade infrastructure. Our stack: .NET microservices on Windows bare-metal servers across multiple regions, Node.js/Python services in Docker on Linux, and MS SQL Server, PostgreSQL, and Redis behind the product. Deploys go out through Azure DevOps CI/CD; monitoring runs on Datadog and Prometheus/Grafana; configuration and automation are handled with Ansible and PowerShell. This is a system that already works — your job is to make it faster, safer, and cheaper, not to build it from zero.

We're looking for an engineer to own and evolve that infrastructure: cut deploy times and add safe rollbacks, push monitoring from it alerts to it tells us what's wrong, harden our backup and disaster-recovery story, plan capacity and optimize cost across regions and providers, and drive the containerization of our Windows-based services. You'll move comfortably across Windows Server (.NET), MS SQL operations, Linux/Docker, and the networking and security layer that ties it all together — and you'll own incidents end-to-end, from response to root cause.

We're a fully remote, radically AI-first team: everyone — DevOps included — works in Cursor and Claude Code on a shared workspace, automating runbooks, scripts, and analysis instead of doing them by hand. If owning real production infrastructure and improving it pragmatically (we pick tools by workload and cost, not by hype) sounds right — read on.

🎯 What You'll Do

Reliability & scaling

  • Own and evolve CI/CD pipelines: reduce deploy times, add rollback capabilities, implement blue-green or canary deployments.
  • Improve monitoring coverage: build SLA-oriented dashboards, reduce alert noise, add synthetic checks.
  • Harden backup strategy: automate verification, point-in-time recovery, disaster-recovery runbooks.
  • Scale infrastructure: capacity planning, new region provisioning, cost optimization across bare-metal providers.

Modernization

  • Evaluate and drive containerization strategy for Windows-based ser