The vacancy is well-defined but lacks compensation details, affecting overall attractiveness.
no salary info
Job description
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%.
Responsibilities
### 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.
Requirements
### 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).
About Plurio
Plurio is an AI agent that analyzes marketing campaigns, predicts outcomes, and automatically optimizes performance using full-funnel data and attribution, built on Elly Analytics' data foundation. It eliminates manual work by catching inefficiencies early, scaling winners, and enabling optimization rules via natural language chat. The company targets performance marketing to drive revenue growth and predictable results.
