Software Engineering Intern (Winter)

United States Digital Space LLC

Boston (MA)

Hybrid

USD 100,000 - 110,000

Full time

12 days ago

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Benefits offered by this job

Relocation support
Travel benefits
Office snacks & catered lunches

Job summary

We’re seeking Software Engineering Interns to help build and scale the company’s observability and security platform. You’ll work across backend, frontend, infrastructure, data engineering, and developer tooling with mentors to design, build, and improve systems processing massive metrics, logs, and data in real time.

Our hybrid workplace supports collaboration and work‑life harmony. The internship runs Jan 4–Apr 23, 2027, with options to work from New York or Boston offices.

Qualifications

  • Pursuing a degree in Computer Science, Software Engineering, or a related technical field
  • Targeting a 2028 full-time start date
  • Demonstrate strong computer science fundamentals, including data structures, algorithms, and software design
  • Comfortable coding in one or more programming languages and excited to use AI-assisted tools
  • Have experience using AI coding tools or a strong interest in learning how to use them effectively
  • Available to work full-time from the company New York or Boston office during the internship program dates: January 4 - April 23, 2027

Responsibilities

  • Contribute to production systems that process and analyze large-scale observability and application data in real time
  • Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services
  • Help identify and solve performance, reliability, and scalability challenges in services
  • Own and deliver technical projects from design through deployment with support from mentors
  • Develop technical expertise through hands-on experience with Kubernetes, distributed systems, and cloud-native infrastructure
  • Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale

Skills

Distributed systems
Kubernetes
Backend development
Frontend development
Cloud-native
AI-assisted tools

Education

Pursuing a degree in Computer Science / Software Engineering or related field

Tools

AI coding tools

Job description

We’re looking for Software Engineering Interns to help build and scale the systems that power the company’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale.

At the company, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do
  • Contribute to production systems that process and analyze large-scale observability and application data in real time
  • Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services
  • Help identify and solve performance, reliability, and scalability challenges in critical services supporting the company’s growing customer base
  • Own and deliver technical projects from design through deployment with support from experienced engineers and mentors
  • Develop technical expertise through hands‑on experience with technologies such as Kubernetes, distributed systems, and cloud‑native infrastructure
  • Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale
Who You Are
  • Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience
  • Targeting a 2028 full-time start date
  • Demonstrate strong computer science fundamentals, including data structures, algorithms, and software design
  • Comfortable coding in one or more programming languages and excited to use AI-assisted tools to enhance software development and problem solving
  • Have experience using AI coding tools or a strong interest in learning how to use them effectively, while exploring how AI can improve engineering practices and products
  • Available to work full-time from the the company New York or Boston office during the internship program dates:
  • January 4 - April 23, 2027

the company values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Benefits and Growth
  • Work on meaningful technical challenges alongside engineers across the globe
  • Participate in mentorship and buddy programs designed to support learning and development
  • Join an in-person intern cohort and expand your network through engineering talks, social events, and community engagement opportunities throughout your internship
  • Receive relocation support and travel benefits where applicable
  • Enjoy office perks including snacks, drinks, and catered lunches on Monday, Wednesday, and Friday

*Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with the company.*

*This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.*

Please ensure that you submit your CV/resume in English.

#LI-Hybrid

the company offers a competitive salary for this role and may include additional compensation elements. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, the company offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, paid time off, and benefits related to traveling and relocation, if eligible.

The reasonably estimated yearly salary for this role at the company is:

$100,000—$110,000 USD

About the company

the company is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.

Equal Opportunity at the company

the company 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

the company endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines

Any information you submit to the company as part of your application will be processed in accordance with the company’sApplicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at the company AI Guide

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