Site Reliability Engineer

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Logo of Dropbox

Dropbox

1001 - 5000 employees

Founded 2007

🏱 Enterprise

⚡ Productivity

Cloud Storage ‱ Enterprise ‱ Productivity

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

📋 Description

‱ Ensure the reliability, scalability, and performance of Dropbox's infrastructure and services ‱ Collaborate with cross-functional teams to develop and maintain best practices for monitoring, logging, and incident response ‱ Build, Implement and maintain automations & infrastructure-as-code tooling, specifically Terraform, Ansible, and Github Actions as well as custom code platforms ‱ Utilize container orchestration platforms, such as Kubernetes, Amazon ECS and Red Hat Openshift, to manage containers at scale ‱ Manage and optimize monitoring and logging pipelines using tools like Datadog and Cribl LogStream ‱ Drive improvement projects related to service health and visibility for our stakeholders, ranging from developers to business service owners to C-level ‱ Develop and maintain custom tooling and automation scripts in Bash, Python and other scripting languages

🎯 Requirements

‱ 5+ years of experience in site reliability engineering or a similar engineering roles with hands-on coding experience ‱ Strong knowledge of AWS services, including EC2, S3, RDS, R53, Lambda, and others ‱ Strong knowledge of Linux administration, internals, filesystems, volume management and specific distro's such as Ubuntu, RHEL, DNS, DHCP ‱ Experience with monitoring and logging tools, Datadog and logging pipeline tools such as Vector or Cribl LogStream ‱ Experience driving one or more transformational programs related to metrics and observability ‱ Experience with scripting in a higher level language (Python preferred) ‱ Experience developing automation to solve infrastructure-related tasks with tools such as Chef/Ansible/Terraform ‱ Experience with log analysis and building metrics, alerts and visuals from log data ‱ Strong proficiency in infrastructure-as-code tools, such as Terraform ‱ Strong Proficiency in Config Management tools specifically Ansible Automation Platform and Chef ‱ Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes or Amazon ECS ‱ Knowledge of LDAP, REST API's and current Auth ‱ Familiarity with GitHub and Git-based workflows ‱ Understanding of RDS databases and network security technologies, such as WAF ‱ Strong problem-solving skills and the ability to work well in a fast-paced, collaborative environment ‱ Excellent written and verbal communication skills

đŸ–ïž Benefits

‱ Health insurance ‱ Retirement plans ‱ Paid time off ‱ Flexible work arrangements ‱ Professional development

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