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—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
The Networks Monitoring team is developing a new platform to provide universal monitoring capabilities by leveraging network data captured at the OS level. Our goal is to provide complete visibility into Layer 7 Networks Protocols to enrich existing Datadog products, and build new ones, without requiring users to deploy additional agents or libraries in their stacks. The team is composed of a set of MS Windows experts building a custom driver to instrument the Network stack in the OS, and partnering closely with the eBPF team building a similar solution on Linux.
Be a part of creating and defining a new industry standard for how to build best in class monitoring solutions using a kernel driver to collect low level networking data. Join a fast-moving team working on hard problems deep in the Windows operating system. In this role, you will wear many hats from writing driver code, to contributing to the Datadog agent, partnering with our platform teams, and working closely with our customers to understand our use cases.
- Own new feature development end-to-end from ideation to implementation
- Build low-overhead data collection tools based on a Windows kernel driver that collects important metrics from the kernel and in particular the network stack
- Develop solutions to instrument L7 protocols such as HTTP/S, DNS, gRPC, but also application specific protocols such as Kafka, Redis
- Be a driving force in product decisions
- You have experience working with and developing in the Windows operating system, developing and troubleshooting kernel drivers (using WFP, DDK, …)
- You have a deep understanding of the various layers of the protocol stack and have hands-on experience troubleshooting networking or API related issues
- You have significant experience building high throughput/low latency systems
- You have been building applications and tooling for 5+ years and know the systems you’ve worked on in depth
- You are motivated by solving problems for our customers first and foremost and building beautiful products that our customers love
- You have contributed to core Windows services
- You have experience building and troubleshooting large distributed systems
- You have experience with Golang
- You have worked at a very high scale environment (e.g. ~thousands of payloads/sec)
Is this you? Let's chat!
In accordance with the Colorado Equal Pay Transparency Rule (“EPT”)
At Datadog, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including your work history and professional experience. These considerations potentially can cause your compensation to vary.
The Software Engineer - Windows Kernel Driver role has an annual starting salary of $150,000, and a competitive equity package. The actual pay may be higher depending on your skills, qualifications, and experience. In addition, Datadog offers a wide range of employee benefits. To learn more about Benefits click here.
#LI-Remote This is a remote position
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.