We are hiring a devops engineer to support and scale our data and ai platform in production.
this role focuses on building reliable infrastructure for data pipelines and ml systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.
responsibilities
build and operate infrastructure for data pipelines and ai/ml workloads
develop and maintain ci/cd for application and model lifecycle (build, train, deploy)
support containerized workloads and orchestration (docker, kubernetes)
partner with machine learning teams and engineering to productionize models
implement monitoring, logging, and tracing for data flow and model performance
improve reliability, scalability, and cost efficiency of data systems
enforce security and access controls for data and infrastructure
reduce operational overhead through automation and tooling
required qualifications
3+ years of experience in devops, sre, or infrastructure engineering
end-to-end mlops/llmops expertise:
experience deploying and maintaining ml/ai workflows.
familiarity with the unique nature of promoting ai assets (models, datasets, and code) through the lifecycle.
strong cloud experience (aws preferred)
proficiency with terraform (or similar iac tools)
experience with docker and kubernetes
familiarity with ci/cd and git-based workflows
experience supporting data platforms (e.g., airflow, kafka, spark, or similar)
programming/scripting (python, bash, or similar)
experience with observability tools and practices
preferred qualifications
experience with mlops tooling (e.g., mlflow, sagemaker, kubeflow)
familiarity with llm-based systems and ai observability(token usage tracking, prompt versioning) and evaluation loops
experience with real-time or high-throughput data systems
exposure to security and compliance requirements (e.g., soc 2, hipaa)
experience with specific mlops tooling (outerbounds, sagemaker, metaflow) and vector database
we offer a competitive benefits program including:
privatized medical, dental & vision coverage
work from home stipend
flexible time off (fto), wellbeing days, paid holidays, and summer fridays
monthly meal reimbursement
hybrid work schedule & catered lunch
a relocation bonus for candidates joining us from a different city
employee resource groups (ergs)
base compensation range
$1,124,480 — $1,405,600 mxn
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