We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
The global IT teams at Datadog are responsible for the devices, infrastructure, and services that employees around the world rely on. This means managing thousands of devices, Identity and Access Management, services like AWS, G Suite, Jamf, and Slack as well as our Meraki network infrastructure.
As an IT Systems Engineer for the IT Engineering team, you will help us move faster and more efficiently by automating manual processes, building new tools and managing our most complex systems. Datadog is scaling very quickly and we need your help!
- Build tooling to automate common and/or repetitive tasks
- Create connections between disparate cloud services using APIs to integrate their data
- Own and manage business critical cloud infrastructure and applications
- Secure various SaaS and PaaS offerings
- Work with security and compliance teams to support compliance efforts
- Solve new and complex IT challenges
- Build policies and scripts to support thousands of company owned devices
- Experience in core project languages (Golang & Python)
- You are extremely technical and love automating things
- You are experienced with G Suite, Github, Slack and other common IT systems
- Excellent verbal and written communications skills
- You want to work in a fast pace, high growth startup environment
- You have worked with identity and access management in a high growth company
- You love infrastructure as code and have used Terraform/AWS CloudFormation/Google Deployment Manager
- You have experience working in and managing infrastructure in a cloud environment (AWS/GCP/Azure)
- There are few things you enjoy more than a good API
- You have worked with large Apple deployments