Staff Software Engineer - Cloud Networks

About the Role

The Cloud Networks team is responsible for ensuring that the network infrastructure can support the growing needs of Datadog's platform. This includes owning the connectivity between clouds, customers, and developers, and ensuring that network paths are scalable, secure, and reliable. As a Staff Software Engineer, you will be part of a team that values collaboration, innovation, and continuous learning.

Datadog operates as a hybrid workplace, offering the flexibility to work remotely while also providing the opportunity to collaborate with colleagues in person. This approach allows for a better work-life balance and enables employees to work in a way that best suits their needs.

What You Will Do

• Design, build, and operate cloud network infrastructure across AWS, GCP, Azure, and Oracle in a multi-region environment.
• Own connectivity between clouds, customers, and developers, ensuring scalable, secure, and reliable network paths.
• Set clear technical direction for expanding data centers and evolving the network while maintaining stability and performance.
• Improve cross-site and cross-region connectivity patterns to support Datadog's growing platform needs.
• Lead deep troubleshooting and investigations for latency and connectivity issues, including escalations that may originate from customer support.
• Identify and deliver network-related efficiency and cost-saving opportunities that positively impact business health.
• Collaborate with internal teams, including engineering, product, and customer support, to ensure seamless integration and issue resolution.
• Participate in on-call rotations to ensure 24/7 coverage of production infrastructure.
• Develop and maintain documentation of network architecture, design decisions, and operational procedures.

What We Are Looking For

• Deep networking expertise, with experience designing and evolving large-scale networks.
• Strong software development skills, with the ability to operate as a developer in a networking-heavy domain.
• Substantial on-prem networking experience, including routing, configuring, and operating network equipment at scale.
• Cloud networking experience, with knowledge of AWS, GCP, Azure, or similar cloud providers.
• Ability to own ambiguous problems, set direction, and drive cross-team collaboration.
• Experience operating production infrastructure and responding to incidents, including participating in on-call rotations.
• Strong communication and collaboration skills, with the ability to work effectively with distributed teams.
• Bachelor's degree in Computer Science, Networking, or a related field.

Nice to Have

• Experience with network automation tools and scripting languages.
• Knowledge of network security principles and best practices.
• Experience with cloud-based network architectures and technologies.
• Certification in networking, such as CCNA or CCNP.

Benefits and Perks

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Flexible paid time off and sick leave policy.
• Remote work stipend and home office setup support.
• Access to professional development and training opportunities.
• Participation in Datadog's employee stock purchase plan.
• Inclusive company culture, with employee resource groups and community events.

• To stand out in your application, highlight specific examples of large-scale network design and implementation, as well as experience with cloud networking providers like AWS or GCP.
• Be prepared to discuss your approach to network security, scalability, and performance optimization in your interviews.
• Showcasing your ability to collaborate with cross-functional teams and drive technical direction will be key in demonstrating your fit for this role.
• Consider creating a personal project or contributing to open-source networking projects to demonstrate your skills and passion for cloud networking.
• When negotiating salary, be sure to research industry standards for Staff Software Engineers in cloud networking and highlight your relevant experience and qualifications.