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Yuno enables any company to manage all the payment methods and fraud providers through a single integration.
Senior Platform Engineer – AI Agent Infrastructure
Location
Argentina
Posted
91 days ago
Salary
0
Seniority
Senior
Job Description
Senior Platform Engineer – AI Agent Infrastructure
Yuno
• Designing event-driven communication. • Improving streaming reliability. • Building observability for the platform. • Driving architectural decisions. • Owning cloud infrastructure and automation with IaC. • Building monitoring, tracing, and alerting systems.
Job Requirements
- Event-driven architecture and messaging systems — you've designed systems around message queues (Kafka, NATS, RabbitMQ, or similar). You understand at-least-once delivery, consumer groups, dead letters, backpressure, and ideally have migrated a system from synchronous to async messaging.
- AWS — deep experience with EC2, VPC, IAM, S3, RDS. You understand networking because inter-service communication runs over internal VPC.
- Databases — solid knowledge of both SQL (PostgreSQL) and NoSQL (MongoDB, Redis). You understand when to use each, indexing strategies, replication, and performance tuning.
- Docker — container lifecycle, resource limits, health checks, bind mounts, multi-stage builds.
- Distributed systems debugging — you've debugged async flows and cascading failures across services in production, and can explain what failed and how you fixed it.
- Infrastructure as Code — Terraform or Pulumi. You believe infrastructure should be reviewed in PRs, not clicked in consoles.
- Observability — Datadog fluency or equivalent (dashboards, monitors, APM, log pipelines, distributed tracing).
- Tech Stack — hands-on experience with Go, AWS (EC2, S3, VPC, RDS PostgreSQL), Docker, PostgreSQL, MongoDB, Redis, and Datadog.
- AI / MLOps infrastructure — experience running AI workloads in production (model serving, LLM inference, GPU/resource management, agent evaluation and observability tools like LangFuse, LangSmith, Braintrust, MLflow).
- Multi-tenant container platforms — experience with platforms that run customer/user workloads in containers (Replit, Railway, Fly.io, or internal PaaS systems).
- Kubernetes — you've done the migration from "Docker on bare EC2" to K8s at least once and know what breaks during the transition.
- Data pipelines and orchestration — Airflow, Prefect, or similar. Knowledge of data warehouses (Databricks, Snowflake, BigQuery) is a plus.
Benefits
- Competitive Compensation.
- Remote Work – You can work from everywhere!
- Home Office Bonus – A one-time allowance to help you create your ideal home office.
- Work Equipment.
- Stock Options.
- Health Plan wherever you are.
- Flexible Days Off.
- Language, Professional, and Personal Growth courses.
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