DevOps Engineer LatAm

#HIRING at Plurio by Elly Analytics

Location: Remote — Latin America (LatAm) preferred 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:

• 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. 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.

🎯 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).
• Latin America (LatAm) timezone.

⚡ 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.
• 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

1. Application — CV + short answers.
2. Intro call (People & Operations, ~30 min).
3. Technical interview — deep dive on infrastructure, CI/CD, Windows/.NET hosting, MS SQL operations, Linux/Docker, networking & security.
4. Paid trial period — short, real work, paid.
5. Offer — if it's a fit, we align on terms and start date.