Software Engineering Intern

Datadog

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Boston, MANew York, NY
Salary: $100,000–$110,000 / yr
Employment: Intern
Posted: 49 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $105k

$86k $234k

below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $124,257–$214,500 — the blue band above. At the midpoint, this role pays about $105k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 73 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 71 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Software Engineering Intern

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Software Engineering Intern (Summer) The Software Engineering Intern (Summer) joins the engineering team to help build and scale systems powering the observability and security platform. Interns contribute to real-world challenges across backend, frontend, infrastructure, data engineering, and developer tooling. Day-to-day responsibilities include designing, building, and improving systems that process and analyze massive volumes of metrics, logs, and application data in real time. You will solve performance, reliability, and scalability challenges while owning technical projects from design through deployment. The role requires proficiency in one or more programming languages, strong computer science fundamentals like data structures and algorithms, and experience with AI-assisted tools. Key technologies include Kubernetes, distributed systems, and cloud-native infrastructure to support large-scale observability and application data processing.

Skills

Kubernetes Distributed Systems Cloud-native Infrastructure Backend Frontend Data Engineering AI-assisted tools Software Design Data Structures Algorithms Observability Security Platform Metrics Logs

What you'll do

Contribute to production systems that process and analyze large-scale observability data in real time.
Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services.
Identify and solve performance, reliability, and scalability challenges in critical services.
Own and deliver technical projects from the design phase through to deployment.
Develop technical expertise with technologies like Kubernetes and cloud-native infrastructure.
Use AI-assisted tools to enhance software development and problem-solving practices.

What we're looking for

Pursue a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience.
Target a 2028 full-time start date.
Demonstrate strong computer science fundamentals, including data structures, algorithms, and software design.
Be comfortable coding in one or more programming languages.
Have experience using AI coding tools or a strong interest in learning how to use them effectively.
Be available to work full-time from the Datadog New York or Boston office during the specified 2027 internship dates.
Be eligible for any required authorizations from the US government to conform to export control regulations.

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