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