Senior DevOps Engineer - Advertising Industry
New
T
TruelogicCloud infrastructure
Location: LatAmFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSDockerPythonBashKubernetesMicrosoft AzureCI/CDTerraform
Requirements
- Have hands-on experience provisioning, managing, and maintaining cloud infrastructure using AWS, GCP, or Azure.
- Have strong proficiency with Infrastructure as Code, particularly Terraform.
- Have experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, Bitbucket Pipelines, or equivalent tools.
- Have production experience with Docker and Kubernetes.
- Have experience designing and managing highly available, scalable, and fault-tolerant cloud architectures.
- Understand cloud networking, deployment strategies, and web application infrastructure.
- Have experience implementing DevSecOps practices, including cloud security, IAM, secrets management, and automated security scanning.
- Have experience with observability practices and tools for monitoring, logging, alerting, and troubleshooting.
- Be proficient in Python and Bash scripting and have solid Linux administration skills.
- Have experience with cloud cost optimization and infrastructure efficiency practices.
- Understand Git and managed development platforms such as GitHub, Bitbucket, or Azure DevOps.
- Have practical experience using AI-enabled development tools and workflows, including orchestrating multi-step AI or agent-driven workflows.
- Have experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems.
Responsibilities
- Design, provision, and maintain scalable cloud infrastructure across AWS, GCP, and/or Azure.
- Build, maintain, and optimize CI/CD pipelines for software delivery.
- Lead Infrastructure as Code practices using Terraform and other IaC tools.
- Manage containerized environments using Docker and Kubernetes.
- Implement DevSecOps practices, including security scanning, IAM, secrets management, and automated security controls.
- Own infrastructure and application observability, including monitoring, logging, alerting, tracing, and incident troubleshooting.
- Drive cloud cost optimization and FinOps initiatives.
- Develop automation scripts and internal tooling using Python, Bash, and Linux-based technologies.
- Orchestrate AI and agent-driven workflows and review AI-assisted outputs for security, scalability, maintainability, and reliability.
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