DevOps Engineer LatAm (Python, Node.js)

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%. Watch a five-minute demo.

Plurio transforms how media buying teams work:

— From manually analyzing dashboards → to the AI agent doing deep data research in minutes.

— From manually adjusting budget → to the agent suggesting optimal split at channel, campaign, and ad-set level.

— From manually killing / scaling / relaunching creatives → to agents autonomously performing those actions in ad platforms, based on full-funnel data.

— 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 (see this inside a $20M+/year UA team). 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 services.

— Improve secrets management.

— Build infrastructure observability.

Day-to-day operations

— Incident response and root-cause analysis.

— SQL Server operations: backups, availability, instance provisioning.

— Networking & security: firewall rules, routing, DNS/FQDN, TLS certificates, VPN management, access control.

You're the Right Person If

Requirements (must have):

— 3+ years in DevOps / SRE / Infrastructure roles.

— Strong Windows Server + IIS/Kestrel experience (.NET stack).

— Azure DevOps pipelines (YAML, templates, variable groups, environments).

— MS SQL Server administration (backups, replication).

— PowerShell scripting.

— Docker & Docker Compose (production workloads on Linux).

— Networking fundamentals: iptables/nftables, NAT, VPN, TLS.

— Configuration management: Ansible (playbooks, inventories, roles).

— Monitoring: Datadog, Sentry, or similar; APM.

— Experience and interest in AI-assisted work (we actively use various AI tools and provide team access to premium services).

— Native-level Russian and English at B1+ (working day-to-day communication).

— You work with reliable overlap on US business hours — required. A Latin America (LatAm) timezone is preferred, but it's not critical as long as the overlap works.

— Links to infrastructure code, scripts, or public contributions are highly appreciated.

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It'd Be a Plus If

— Proxmox / KVM virtualization.

— Container orchestration experience (Kubernetes, Docker Swarm).

— Bare-metal hosting experience (OVHcloud, Leaseweb, Hetzner, etc.).

— Experience migrating Windows workloads to containers.

— Terraform or Pulumi for infrastructure as code.

— Cost optimization for hybrid (bare-metal + cloud) setups.

What We DON'T Need

— Setting up CI/CD from zero — it's already running.

— Basic monitoring setup — already in place.

— A dogmatic "cloud or bust" approach — we choose infrastructure pragmatically based on workload and cost.

What You Can Expect

— Competitive compensation — aligned with senior DevOps / SRE experience; specifics discussed individually.

— Remote, US-hours overlap: core team collaboration and incident response run on US time, so reliable overlap on US business hours is a hard requirement. A Latin America timezone is preferred (it makes that overlap easy), but it's not critical.

— Home office setup: we provide a laptop, software, and any other tools necessary for work.

— Professional development: we cover 50% of the costs of relevant educational activities.

— Vacation: annual leave (twice a year for 2 weeks) + holidays.

— Employment: via Deel contract.

— AI-first engineering culture: we use Cursor, Claude, shared AI infrastructure, and premium team access — alongside strong infrastructure craft.

Hiring Process

— Application — CV + short answers (see below). We aim to respond within 48 hours.

— Intro call (People & Operations, ~30 min) — company overview, background, motivation, logistics.

— Technical interview — deep dive on infrastructure, CI/CD, Windows/.NET hosting, MS SQL operations, Linux/Docker, networking & security, with real incident and scaling scenarios.

— Paid trial period — short, real work, paid.

— Offer — if it's a fit, we align on terms and start date.