Senior DevOps Engineer

Senior DevOps Engineer

Location: Guadalajara, Jalisco (MX-JAL), Mexico (MX).

Key Responsibilities

• Design, build, and maintain scalable DevOps platforms and CI/CD pipelines using GitHub Actions and related automation tools.
• Develop and manage infrastructure as code using Terraform for cloud infrastructure provisioning, deployment, and lifecycle management.
• Support cloud platform creation, deployment, reliability, and security, with AWS as the preferred primary cloud platform.
• Build and maintain multi-source pipelines integrating code repositories, infrastructure modules, security scans, quality gates, deployment workflows, and monitoring.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Implement application and infrastructure monitoring using Datadog, including dashboards, logs, metrics, alerts, and operational visibility.
• Integrate code quality and security controls using SonarQube within CI/CD workflows.
• Support multi-cloud integrations across AWS, Azure, and GCP, where required.
• Collaborate with application teams to improve deployment reliability, release automation, environment consistency, and operational efficiency.
• Partner with security teams to enforce DevSecOps practices, vulnerability controls, secrets management, and compliance requirements.
• Troubleshoot deployment, infrastructure, pipeline, monitoring, and runtime issues across cloud and container platforms.
• Drive automation to reduce manual effort and improve platform reliability, repeatability, and auditability.

Required Skills & Qualifications

• Strong hands‑on DevOps experience with GitHub Actions and Terraform.
• Experience building and supporting cloud platforms, preferably on AWS.
• Strong understanding of cloud deployment, reliability, monitoring, scalability, and security practices.
• Experience setting up multi‑source CI/CD pipelines.
• Hands‑on experience with Docker and Kubernetes for application deployment.
• Experience with Datadog for application monitoring, observability, dashboards, alerts, logs, and metrics.
• Experience integrating SonarQube for code quality, static analysis, and quality gates.
• Exposure to multi‑cloud environments, including Azure and GCP integration.
• Strong troubleshooting skills across infrastructure, CI/CD, containers, cloud services, and monitoring tools.
• Ability to work with cross‑functional teams including developers, architects, security, QA, and operations.

Nice‑to‑Have Skills

• Software engineering experience using Python, SQL, Java, or C++.
• Experience with ETL/ELT tools and data pipeline workflows.
• Experience with relational databases such as PostgreSQL, SQL Server, MySQL, and Oracle.
• Experience with NoSQL databases such as MongoDB and Neo4j.
• API development experience, including REST APIs and integration patterns.
• Exposure to big data technologies such as Hadoop and Spark.
• Experience supporting Data Science and Machine Learning workloads or model deployment pipelines.
• Familiarity with MLOps, model packaging, model deployment, and runtime monitoring.
• Experience with DevSecOps, vulnerability scanning, secrets management, and compliance‑driven delivery.