DevOps Engineer

Senior DevOps Engineer About Somnio Somnio is a software company born in Uruguay, recognized by Google as one of the top 10 Flutter companies in the world, and now on its way to becoming AI-first. We work remotely from different countries across Latin America, driven by one belief: dream big and build as a team. We’re 100% remote. Our projects are global and involve direct contact with clients. The role We’re looking for a Senior DevOps Engineer to architect and manage the AWS ecosystem behind a Data and AI platform for one of our clients. Your main mission is to build a developer self-service environment: the Fullstack and AI engineers on the team should have the infrastructure, CI/CD pipelines and observability tools they need to move fast without compromising security. You’ll own the cloud-native strategy and replace manual configuration with Infrastructure as Code. This isn’t about managing servers. You’ll be building a scalable, automated platform that treats infrastructure as a product. What you’ll do - Design, build and evolve the AWS infrastructure for a Data and AI platform, fully defined as code. - Build CI/CD pipelines with automated testing, security scanning and blue/green deployments. - Run and scale containerized workloads on EKS or ECS. - Design the network layer, including VPCs, peering, Transit Gateways and load balancing, with real-time data streams in mind. - Apply security best practices across the stack: least-privilege IAM, secret management and encryption at rest and in transit. - Set up monitoring and observability around the Golden Signals. - Configure and tune databases (RDS PostgreSQL and vector databases) for high availability and performance. - Work closely with Fullstack and AI engineers so the platform fits how they build. Must have - 7+ years of experience in Infrastructure or Systems Engineering, with a strong focus on AWS. - Infrastructure as Code: you’ve mastered Terraform or Pulumi. We expect zero “ClickOps”: everything is version-controlled. - Container orchestration: deep experience with Amazon EKS (Kubernetes) or ECS, including Fargate, service mesh and scaling policies. - CI/CD: you’ve designed and maintained complex pipelines in GitHub Actions, GitLab CI or Jenkins. - Cloud-native networking: VPC design, peering, Transit Gateways and load balancing (ALB/NLB). - Security and compliance: least-privilege IAM, secret management (AWS Secrets Manager or HashiCorp Vault) and encryption at rest and in transit. - Monitoring and observability: Prometheus/Grafana, Datadog or New Relic. - Database operations: configuring and tuning RDS (PostgreSQL) and vector databases. - English level B2 or higher. - Availability to work mainly on Eastern Time (EST). Nice to have - Data and AI infrastructure: AWS SageMaker, MLOps pipelines (Kubeflow), or GPU-backed instances for AI inference. - Serverless: AWS Lambda and EventBridge for real-time event streams. - Cost optimization: a track record keeping cloud spend under control with Cost Explorer, Reserved Instances or Savings Plans. - SRE mindset: defining SLOs and running blameless post-mortems. Engagement details: - Full-time: 40 hours/week - Duration: 18-week project - Start date: ASAP - Location: Remote from anywhere in LATAM, working mainly on Eastern Time (EST) Our Commitment to You: - Work from anywhere - From the mountains or the city, you choose your ideal space - Flex Time - Because we trust your talent, not the clock. - Great Place to Work - Recognized for our culture - Tailored career growth - We accompany you where you want to go