Software Engineering Intern (Summer)
Datadog is hiring a Software Engineering Intern (Summer) in Boston and New York, United States. It pays $100k-$110k a year and Level rates it ; you can apply on Datadog.
Level's read on this job
- On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Kubernetes, Docker and Python.
- Level classifies it as an internship.
- Level lists 433 other open roles at Datadog.
AI in this role
Build and scale real-time observability systems while leveraging AI coding tools to enhance software development and problem solving.
We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’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 Datadog, 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 Datadog’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 Datadog New York or Boston office during the internship program dates:
- May 24 - Aug 20, 2027
- May 24 - Aug 27, 2027
- June 7 - Sep 3, 2027
Datadog 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 Datadog.
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.
If possible, please apply using your personal email address instead of your university email address.
Students can sign up for a free Datadog Pro account to learn more about our platform and products.
#LI-Hybrid
Datadog 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, Datadog 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 Datadog is: $100,000—$110,000 USDAbout Datadog:
Datadog 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, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog 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.
Datadog 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 Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
How we rate this
Software Engineering Intern (Summer) at Datadog rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where backend engineering was part of your work. What did you do?
- Tell me about a project where cloud native was part of your work. What did you do?
- Tell me about a project where software development was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Backend Engineering, Cloud Native, Software Development, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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