Role Description

As a Corporate Site Reliability Engineer (SRE) at Dropbox, you will help lead the infrastructure strategy and technical direction of one of the most innovative technology companies globally. Successful candidates will possess a growth mindset, strong accountability and be passionate about designing, building, and securing scalable infrastructure services in a dynamic environment. You will drive improvement projects in automation and observability and effectively handle incidents that arise in a prompt but measured way. In this role, you'll serve as a technical lead of programs related to monitoring, metrics, alerting and reliability throughout the IT Services organization, and contribute to the evolution of our world-class infrastructure while ensuring utmost security and scalability.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• 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 Log Stream

• 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

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

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 Log Stream

• 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 Git

Hub 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

Preferred Qualifications

• Experience managing large-scale multi-cloud or hybrid infrastructure.

• Strong background in Infrastructure as Code (Terraform, Ansible) and Git Ops workflows.

• Familiarity with Kubernetes, Docker, and serverless platforms.

• Proven track record improving observability, reliability, and incident response.

• Understanding of compliance and security frameworks (SOC2, ISO 27001, FedRAMP).

• Experience implementing Zero Trust security and access models.