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Cristian Rincon

@cristianrincon1

Message

Senior DevOps & AI Ops engineer building secure CI/CD, cloud infrastructure, and production GenAI tooling for teams.

Colombia

Message

What I'm looking for

I’m looking for a role where I can own CI/CD and DevSecOps at scale, build reliable MLOps for production ML, and ship practical GenAI tooling—working across AWS/GCP/Azure with strong engineering ownership.

I’m a Senior DevOps & AI Ops Engineer with 6+ years delivering CI/CD pipelines, cloud infrastructure, and DevSecOps across GCP, Azure, and AWS. I build production AI-powered tooling—using the Anthropic Claude SDK and Claude Code—including a PR Review extension for Azure DevOps and agentic skills for automated source code documentation.

I own end-to-end CI/CD reliability for multiple squads, enforce security standards across pipeline stages, and implement scalable infrastructure with Terraform and GitOps via ArgoCD. I also deploy and monitor large-scale ML models on Azure Databricks with automated retraining and tracking through MLflow, grounded in practical MLOps and enterprise-quality testing.

Experience

Work history, roles, and key accomplishments

Current

Senior DevOps & AI Ops Engineer

Current

EPAM Systems

Apr 2024 - Present (2 years 2 months)

Built production AI tooling with the Anthropic Claude SDK and Claude Code, including an Azure DevOps PR review extension, a legacy OneNote-to-Confluence migration CLI, and custom agentic skills for source code documentation. Owned end-to-end CI/CD reliability across AWS and Azure DevOps and enforced DevSecOps standards using Prisma Cloud, Trivy, and SonarQube.

Anthropic SDK Claude Code Azure DevOps Terraform GitOps Prisma SonarQube Azure Databricks MLFlow

DevOps Engineer

EPAM Systems

Jun 2022 - Apr 2024 (1 year 10 months)

Built and monitored ML pipelines orchestrating the train/build/deploy steps of the MLOps lifecycle on Azure Databricks. Developed REST APIs with Python (Django, FastAPI) to support data science teams and implemented unit and integration tests to meet enterprise standards.

Azure Databricks MLOps Python Django fastAPI REST APIs Unit Testing Integration Testing CI CD

Machine Learning Engineer

Mercado Libre

Jul 2021 - Jun 2022 (11 months)

Orchestrated ETL and model training workflows on GCP using Apache Airflow (Cloud Composer). Containerized ML inference microservices with FastAPI and Docker, implemented observability with New Relic, and optimized CI/CD with Jenkins and GitHub Actions to reduce manual deployment effort.

GCP Apache Airflow Cloud Composer ETL Model Training fastAPI Docker New Relic Jenkins

DevOps Engineer

Grupodot

Feb 2021 - Jul 2021 (5 months)

Managed GCP infrastructure using Terraform and GitLab CI, maintaining a self-hosted toolchain including SonarQube and container registries on Linux. Built Python and JavaScript CLI tools to automate ML lifecycle tasks across engineering teams.

Terraform Gitlab CI GCP SonarQube Linux Python JavaScript CLI CI CD ML Lifecycle

Backend Developer

Grupodot

Feb 2020 - Jun 2020 (4 months)

Designed and maintained REST APIs and microservices using Python and JavaScript on GCP. Ensured code quality through SonarQube and automated build/test workflows with GitLab CI.