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About the role
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 for 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 guidance from experienced engineers and mentors
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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 2027 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 complete a 6-month internship beginning in February, March, April, May, or June 2027 (we are unable to accommodate internships starting at any other time)
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, attend company social events, and engage with Datadog Community Guilds and employee resource groups throughout the 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.
Please ensure that you submit your CV/resume in English. 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
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About 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.
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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.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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