Senior DevOps Engineer – LATAM

Posted Aug 25

This is a fully remote position, open to applicants in Latin America.

πŸ“‹ Description

β€’ Set up and oversee cloud-based infrastructure for web and mobile applications, utilizing AWS and other cloud services.

β€’ Develop and manage CI/CD pipelines, infrastructure as code, and automated testing procedures.

β€’ Streamline deployment, scaling, and monitoring processes for real-time applications.

β€’ Create and uphold observability systems for logging, monitoring, metrics collection, and alert notifications.

β€’ Ensure system reliability and performance through proactive monitoring and incident response planning.

β€’ Engage in daily standup meetings with team members and weekly demonstrations with clients.

β€’ Work closely with development teams to enhance build processes and deployment strategies.

β€’ Aid in upholding security best practices throughout infrastructure and application deployments.

β€’ Collaborate with a diverse team in a client-facing capacity.


⛳️ Requirements

β€’ Over 5 years of practical experience implementing DevOps methodologies within cloud environments.

β€’ Strong emphasis on CI/CD pipelines, Docker, Terraform, and Ansible.

β€’ Proficient with REST APIs, Webhooks, Docker/Kubernetes, and IaaS platforms in AWS and Google Cloud.

β€’ Extensive experience in containerization, orchestration, and automation with Docker, Kubernetes, Terraform, and Ansible.

β€’ Familiarity with observability tools like Prometheus, Grafana, ELK stack, CloudWatch, or Datadog.

β€’ Understanding of MySQL, PostgreSQL, NoSQL, S3, and EBS.

β€’ Knowledge of OSI layers, TCP/IP, DNS, and load balancing principles.

β€’ Bachelor's degree in Computer Science, Engineering, or a related field of practical experience.

β€’ Proficient in English (B2+ or higher), both written and spoken.

β€’ Experience collaborating within agile teams employing Scrum or Kanban methodologies.

β€’ Capability to work remotely with necessary headset/camera equipment, maintain responsiveness during working hours, have a quiet workspace, and possess a reliable internet connection.

β€’ Experience with VoIP, WebRTC, or AI infrastructure is an advantage.

β€’ Experience architecting cloud infrastructure for scalable machine learning and data pipelines is a plus.

β€’ Experience in building and scaling infrastructure for VoIP/WebRTC applications is a plus.

β€’ Experience in building and scaling infrastructure for AI agents is a plus.


🏝️ Benefits

β€’ 9 paid holidays.

β€’ 10 days of PTO available after 6 months (may vary slightly based on client policies).

β€’ Flexibility for remote work.

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