Software Engineering Intern

Datadog

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYBoston, MA
Salary
$100,000–$110,000 / yr
Employment
Intern
Posted
25 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $152k
This role $105k
$88k most similar roles pay here $209k

This role pays less than 80% of similar roles. Most pay $115,979–$187,378 — the shaded band above. At the midpoint, this role pays about $105k versus about $152k 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 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Software Engineering Intern

Software Engineering Intern (Winter) is a role where interns contribute to the systems powering an observability and security platform. Working alongside experienced engineers and mentors, you will design, build, and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services. Your daily work involves processing and analyzing massive volumes of metrics, logs, and application data in real time while solving performance, reliability, and scalability challenges for critical services. The role requires strong computer science fundamentals in data structures and algorithms, along with proficiency in at least one programming language. You will specifically utilize technologies such as Kubernetes and cloud-native infrastructure while exploring AI-assisted tools to enhance software development. This position focuses on the technical challenge of managing large-scale observability data and building robust developer tooling within a complex production environment.

What you'll do

  • Process and analyze large volumes of metrics, logs, and application data in real time.
  • Build and improve distributed systems across backend infrastructure and cloud-native services.
  • Develop developer platform tools to support internal engineering workflows.
  • Identify and resolve performance, reliability, and scalability challenges in critical production services.
  • Own technical projects from the initial design phase through final deployment.
  • Utilize AI-assisted tools to enhance software development and problem-solving processes.
  • Work with Kubernetes and other cloud-native technologies to manage infrastructure at scale.

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 New York or Boston office from January 4 to April 23, 2027.
  • Export control regulations, some of these roles may require candidates to be eligible for any.

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