Company Profile

Featured

Datadog

Datadog is an observability and security platform for cloud-scale applications, providing monitoring for infrastructure, applications, logs, and user experience in one place.

🇺🇸 New York, NY, United StatesMarket Cap: $40B

What They Build

Cloud Observability and Security Platform

Customer Type

SREs, DevOps engineers, developers, and security teams at organizations of all sizes

Business Model

Usage-based and subscription revenue based on metrics, logs, and traces

Key Products & Initiatives

  • Infrastructure Monitoring tracks the performance and health of hosts, containers, and serverless environments in real time.
  • APM (Application Performance Monitoring) provides end-to-end distributed tracing to troubleshoot bottlenecks in complex microservices.
  • Log Management unifies logs with metrics and traces for faster root-cause analysis and long-term storage.
  • Cloud Security Management identifies misconfigurations and threats across production workloads and cloud infrastructure.
  • Observability Pipelines allow teams to manage and route high volumes of telemetry data with control over cost and privacy.
  • Synthetic Monitoring and RUM (Real User Monitoring) track customer experience from the frontend through the backend.

Key Products & Brands

Datadog APM

Application Monitoring

Datadog APM provides distributed tracing to monitor application performance and identify latency bottlenecks. It automatically maps services and dependencies, helping teams understand how code changes impact the user experience. Teams focus on high-scale data ingestion, trace visualization, and anomaly detection logic.

APMdistributed tracingbottleneck analysisperformance

Infrastructure Monitoring

Infra Monitoring

Infra Monitoring provides visibility into servers, containers, and cloud environments with real-time dashboards and alerting. It supports hundreds of integrations across the modern cloud stack, from AWS to Kubernetes. Teams work on low-latency data pipelines, agent reliability, and density of visualization.

infrastructurecloud monitoringKubernetesdashboards

Log Management

Log Analytics

Log Management centralizes and analyzes log data across the stack to troubleshoot issues and find security threats. It is tightly integrated with metrics and traces for seamless context switching during incidents. Teams optimize for search performance, cost-effective storage, and automated log parsing.

logslog analyticstroubleshootingcompliance

Datadog Security Monitoring

Cloud Security

Security Monitoring detects threats and misconfigurations in real time across the observability stack. It uses the same telemetry data as monitoring to provide security context without additional overhead. Teams focus on threat detection rules, compliance scanning, and incident response workflows.

securitythreat detectioncloud securitycompliance

Role Families

Observability Platform Engineering

Software EngineerSystems EngineerSRE

Expected Skills

GoJavaScalaPythonDistributed SystemsInfluxDBCassandra

What They Work On

  • Building high-throughput data ingestion pipelines capable of processing trillions of events daily.
  • Developing low-latency querying and visualization engines for real-time observability dashboards.
  • Engineering reliable monitoring agents that run on millions of hosts with minimal overhead.

Portfolio Ideas

  • Build a simple metrics collector and exporter for a web app.
  • Design a dashboard that visualizes system performance metrics from a public API.
  • Create a tool that parses and searches log files for specific patterns.

Technical Operations & Solutions

Technical Support EngineerSolutions ArchitectProduct Manager

Expected Skills

Cloud InfrastructureNetworkingTroubleshootingCustomer CommunicationPythonBash

What They Work On

  • Helping customers architect and deploy observability strategies across their cloud infrastructure.
  • Troubleshooting complex performance issues and data gaps for enterprise organizations.
  • Bridging the gap between customer needs and product development to drive feature roadmaps.

Portfolio Ideas

  • Document the observability strategy for a multi-service cloud application.
  • Build a prototype dashboard for a common cloud-native workload (e.g., Kubernetes cluster).
  • Create a technical tutorial on integrating observability into a CI/CD pipeline.

Entry Pathways

internships

Datadog offers a wide range of internships in NYC in engineering, product, and sales engineering.

entry Level Roles

Entry-level roles are common in engineering, technical support, and sales development.

graduate Programs

The company has a strong new grad hiring program, particularly for software engineering and technical solutions.

Culture Signals

  • Extremely engineering-heavy culture with a focus on solved-once performance.

  • Emphasis on transparency and data-driven decision making.

  • Fast-paced execution with a 'you build it, you run it' mentality in engineering.

  • Strong focus on product-led growth and continuous customer value.

Guidance by Audience

Target if you love systems programming, distributed systems, and massive scale.
Understanding cloud-native infrastructure is a huge advantage.
NYC-based roles offer a unique opportunity in the enterprise tech scene.

Sources

High

Updated: February 8, 2026