Coderio designs and delivers scalable digital solutions for integral companies.
We combine strong technical expertise with a product mindset to lead complex software initiatives end‐to‐end.
We work with international clients, value autonomy and clear communication, and build long‐term partnerships through technical excellence.
More information:This is a high‐impact technical role.
We are looking for a Senior Machine Learning Ops Engineer to join our team.
You will own the architecture, development, and automation of end‐to‐end machine learning solutions.
Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production.This is a hands‐on execution role.
You are responsible for the technical health of the Mce with Docker and containerized environments .
Hands‐on experience building and maintaining CI/CD pipelines with:GitHub ActionsJenkinsGitLab CIor similar platformsStrong Linux administration skills.Experience with configuration management tools such as Ansible .
Good scripting and automation capabilities with:PythonBashExperience implementing observability using technologies such as:PrometheusGrafanaCloudWatchOpenSearch / ElasticsearchELKStrong understanding of networking concepts including:VPCsSubnetsLoad BalancersDNSVPNsFirewallsRoutingSecurity GroupsExperience troubleshooting complex distributed systems and production environments.Solid understanding of cloud security and infrastructure security best practices.Experience supporting highly available, production-grade cloud environments.Strong communication skills and ability to collaborate with engineering, security, QA, and business stakeholders.High degree of autonomy, ownership,



and analytical problem‐solving ability.Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, or a related technical discipline, or equivalent professional experience.Core Technology StackYou'll work with technologies including:AWSKubernetes / EKSDockerTerraformAnsibleGitHub ActionsJenkinsLinuxPythonBashPrometheusGrafanaCloudWatchOpenSearch / ElasticsearchNice to HaveExperience with HashiCorp Nomad .
Experience with HashiCorp Consul .
Broader experience with the HashiCorp ecosystem.Experience operating Kafka in production.Experience supporting data infrastructure based on:ClickHouseElasticsearchMongoDBRedisExperience with distributed systems and high-volume data platforms.Previous experience in cybersecurity, identity security, or security SaaS platforms .
Experience working with cloud security controls and compliance frameworks.Experience with FinOps and cloud cost optimization .
Experience designing internal developer platforms or platform engineering capabilities.Exposure to infrastructure supporting AI/ML or LLM-based applications .
What Success Looks LikeSuccess in this role means:Increasing infrastructure reliability and availability.Reducing deployment friction and improving engineering velocity.Increasing infrastructure automation and reducing manual operational work.Improving observability and reducing mean time to detection and resolution.Operating Kubernetes workloads reliably at scale.Strengthening security throughout cloud infrastructure and deployment processes.Improving AWS cost efficiency without compromising reliability.Contributing reusable platform capabilities that allow engineering teams to move faster.Continuously improving production readiness as the platform scales.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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📌 Remote Ml Engineer - Large-Scale Recommender Systems (Juan José Castelli)
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📍 Juan José Castelli