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

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Design, build and evolve the AWS infrastructure for a Data and AI platform, fully defined as code.

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Build CI/CD pipelines with automated testing, security scanning and blue/green deployments.

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Run and scale containerized workloads on EKS or ECS.

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Design the network layer, including VPCs, peering, Transit Gateways and load balancing, with real-time data streams in mind.

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Apply security best practices across the stack: least-privilege IAM, secret management and encryption at rest and in transit.

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Set up monitoring and observability around the Golden Signals.

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Configure and tune databases (RDS PostgreSQL and vector databases) for high availability and performance.

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Work closely with Fullstack and AI engineers so the platform fits how they build.

Must have

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7+ years of experience in Infrastructure or Systems Engineering, with a strong focus on AWS.

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Infrastructure as Code: you’ve mastered Terraform or Pulumi. We expect zero “ClickOps”: everything is version-controlled.

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Container orchestration: deep experience with Amazon EKS (Kubernetes) or ECS, including Fargate, service mesh and scaling policies.

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CI/CD: you’ve designed and maintained complex pipelines in GitHub Actions, GitLab CI or Jenkins.

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Cloud-native networking: VPC design, peering, Transit Gateways and load balancing (ALB/NLB).

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Security and compliance: least-privilege IAM, secret management (AWS Secrets Manager or HashiCorp Vault) and encryption at rest and in transit.

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Monitoring and observability: Prometheus/Grafana, Datadog or New Relic.

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Database operations: configuring and tuning RDS (PostgreSQL) and vector databases.

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English level B2 or higher.

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Availability to work mainly on Eastern Time (EST).

Nice to have

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Data and AI infrastructure: AWS SageMaker, MLOps pipelines (Kubeflow), or GPU-backed instances for AI inference.

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Serverless: AWS Lambda and EventBridge for real-time event streams.

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Cost optimization: a track record keeping cloud spend under control with Cost Explorer, Reserved Instances or Savings Plans.

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SRE mindset: defining SLOs and running blameless post-mortems.

Engagement details:

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Full-time: 40 hours/week

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Duration: 18-week project

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Start date: ASAP

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Location: Remote from anywhere in LATAM, working mainly on Eastern Time (EST)

Our Commitment to You:

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Work from anywhere - From the mountains or the city, you choose your ideal space

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Flex Time - Because we trust your talent, not the clock.

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Great Place to Work - Recognized for our culture

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Tailored career growth - We accompany you where you want to go