DevOps Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-10-30). Last seen at its source just now.
We have tracked this listing since 30 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Uruguay
The description agrees: it names LATAM.
What the ad says
…Location: Remote from anywhere in LATAM, working mainly on Eastern Tim…
Pay not stated
Similar roles pay $90k–190.5k/yr
Middle 50% of 17 listings that do state pay — Engineering · all levels · Uruguay · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Recruitee employer's own board first seen 2d ago · last seen just now
The listing
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