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Tech Startups & Growth

How to Write a Resume for Datadog

Datadog is a monitoring and analytics platform for cloud-scale applications. If a company runs infrastructure in the cloud, there's a good chance they use Datadog for observability. They're growing fast and competing with Splunk, New Relic, and Dynatrace.

Size

6,000+ employees

HQ

New York, NY

What It's Like to Work There

Engineering-first culture that moves fast. High expectations and a lot of ownership. Based in NYC, which gives it a different vibe than West Coast tech. Competitive compensation. Growing rapidly.

Resume Tips for Datadog

1

If you've built monitoring, logging, tracing, or alerting systems, put that first. It's exactly what Datadog does.

2

Show experience working at scale. Datadog ingests trillions of data points daily and they need engineers who understand high-throughput systems.

3

Mention experience with cloud platforms (AWS, GCP, Azure), Kubernetes, or containerized environments. Their customers live in the cloud.

4

Highlight performance optimization work. Datadog's product needs to be fast and efficient, so they value engineers who think about performance.

5

Include experience with Go, Python, or Java. These are the primary languages in their stack.

6

Show product thinking. Datadog is an engineering-led company but they want engineers who understand why they're building what they're building.

Hiring Process

1

Recruiter phone screen, then a technical phone interview (coding)

2

Onsite or virtual loop of 4-5 interviews: coding, system design, and behavioral

3

Strong emphasis on problem-solving and engineering fundamentals

4

Process takes 2-3 weeks and they move fast

Interview Style

Strong coding interviews with a focus on data structures, algorithms, and system design. They want to see clean code and good problem decomposition. System design rounds go deep on distributed systems and real-time data processing.

Top Roles They Hire

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