
DevOps Engineer II – Contract
Posted Sep 25

Posted Sep 25
This is a fully remote position, open to applicants in Mexico.
• Take charge of and enhance infrastructure-as-code for the provisioning of cloud services and environments.
• Oversee and optimize CI/CD pipelines, secrets management, and deployment workflows.
• Deploy observability tools, automate failure detection processes, and minimize alert fatigue.
• Work alongside platform, product, and data teams to scale services and alleviate latency or bottlenecks.
• Collaborate with IT and network teams on system hardening, identity and access management, and secure provisioning.
• Assist in developing disaster recovery plans, responding to security incidents, and improving internal system reliability.
• Utilize AI-assisted tools for infrastructure as code, scripting, and creating runbooks.
• Create AI-driven workflows, including incident triage, automated pull request and infrastructure as code reviews, and ChatOps.
• Implement AIOps and LLM-based techniques for observability, covering alert correlation, incident summaries, and root-cause analysis.
• Proven experience with cloud infrastructure, specifically AWS, and container technologies like Docker.
• Strong background in scripting or programming languages such as Python, Bash, or Go.
• Practical experience in building and maintaining CI/CD pipelines utilizing GitHub Actions, Jenkins, or GitLab CI.
• Familiarity with Infrastructure as Code tools, including Terraform or CloudFormation.
• Comprehensive understanding of Linux/UNIX systems, networking concepts, and security best practices, particularly IAM and security groups.
• Knowledge of observability and monitoring tools like Prometheus, Grafana, or Datadog.
• Capacity to work cross-functionally, manage trade-offs, and drive tangible improvements in system health and engineering velocity.
• Hands-on experience with AI developer tools, including coding assistants and LLM-based command line interfaces, for writing, reviewing, and debugging infrastructure code and pipelines.
• Ability to validate AI-generated outputs.
• Awareness of safe AI operations, encompassing prompt and context hygiene, safeguarding secrets and personally identifiable information (PII), and verifying AI-generated modifications through reviews and security gates.
• Fully remote work opportunities available from anywhere in Mexico.
• A collaborative engineering culture that fosters learning, experimentation, and professional development.
• Genuine ownership of infrastructure, CI/CD, and observability.
• Hands-on experience with modern cloud, infrastructure as code, and container tools.
• Chance to develop AI-driven workflows, including incident triage and automated infrastructure as code reviews.
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