Internship
Deadline in 15 days
Deadline: November 7, 2026
Datadog is offering Software Engineering Internship opportunities for 2027 for students interested in building and scaling the systems that power modern observability and security platforms. The internship provides an opportunity to work on real-world engineering challenges across backend engineering, frontend engineering, infrastructure, data engineering and developer tooling. Interns will work alongside experienced engineers and mentors while contributing to systems that process and analyse massive volumes of metrics, logs and application data in real time. The internship is scheduled to run from January 4 to April 23, 2027, with interns required to work full-time from Datadog’s New York or Boston office during the programme.
Requirements: candidates must be available to work full-time from Datadog’s New York or Boston office during the programme.
A quick overview based on the listing. Review the full details below before applying.
No separate application link was provided for this opportunity. Full application instructions are included in the announcement details below — read them carefully and contact the organization directly.
Datadog is offering Software Engineering Internship opportunities for 2027 for students interested in building and scaling the systems that power modern observability and security platforms.
The internship provides an opportunity to work on real-world engineering challenges across backend engineering, frontend engineering, infrastructure, data engineering and developer tooling. Interns will work alongside experienced engineers and mentors while contributing to systems that process and analyse massive volumes of metrics, logs and application data in real time.
The internship is scheduled to run from January 4 to April 23, 2027, with interns required to work full-time from Datadog’s New York or Boston office during the programme.
Datadog is looking for Software Engineering Interns to contribute to the development and scaling of the systems supporting its observability and security platform.
Interns will have the opportunity to work on meaningful engineering projects that address challenges involving performance, reliability, scalability and cloud-native technology.
The internship provides practical exposure to how large-scale software systems are designed, developed, deployed and improved to serve customers globally.
Selected interns will contribute directly to technical projects while receiving support from experienced engineers and mentors.
Interns will contribute to production systems responsible for processing and analysing large volumes of observability and application data in real time.
This provides an opportunity to understand how software operates at significant scale and how engineering teams build systems capable of handling demanding workloads.
Interns may work on distributed systems across backend infrastructure, developer platforms and cloud-native services.
This can provide practical exposure to the challenges involved in building reliable systems that operate across complex technology environments.
Interns will help identify and address performance, reliability and scalability challenges affecting critical services.
This work is particularly important as Datadog continues to support a growing global customer base.
Interns will have the opportunity to own and deliver technical projects from the design stage through deployment, with guidance and support from experienced engineers and mentors.
The internship provides hands-on opportunities to develop knowledge of technologies and concepts such as:
Interns will collaborate with fellow interns, mentors and experienced engineers while developing software designed to deliver impact at global scale.
The internship may involve different technical areas depending on business needs and the intern’s interests and skills.
Interns interested in backend development can gain experience contributing to systems and services that process large-scale application and observability data.
The role may also provide opportunities to contribute to frontend systems and technologies used to deliver products and experiences to Datadog customers.
Students interested in infrastructure can gain exposure to cloud-native services, distributed systems and technologies such as Kubernetes.
Data-focused projects may involve systems that process and analyse large quantities of metrics, logs and application information.
Interns may also contribute to tools and platforms that help software engineers develop, test, deploy and maintain software more effectively.
Datadog highlights opportunities to work with AI-powered products, including Bits AI, as well as other technologies relevant to modern software engineering.
The opportunity is intended for students pursuing a technical degree or individuals with equivalent practical experience.
Be pursuing a degree in Computer Science, Software Engineering or a related technical field, or have equivalent practical experience.
Be targeting a 2028 full-time start date.
Have strong computer science fundamentals.
Understand data structures and algorithms.
Have knowledge of software design.
Be comfortable coding in at least one programming language.
Be interested in using AI-assisted tools to enhance software development and problem-solving.
Have experience using AI coding tools or demonstrate 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 internship dates.
Datadog also states that applicants do not necessarily need to meet every qualification from day one. Students who are passionate about technology and interested in developing their experience are encouraged to apply.
One of the stated requirements is that candidates should be targeting a 2028 full-time start date.
Applicants should therefore carefully consider this requirement when determining whether the internship is appropriate for their current academic and career timeline.
Interns are expected to work full-time during the internship programme dates.
The company operates a hybrid workplace model and places significant value on office culture, relationships and collaboration. However, this particular internship requires candidates to be available full-time from the New York or Boston office during the specified programme dates.
The internship provides students with opportunities to develop both their technical and professional skills.
Meaningful technical challenges alongside experienced engineers.
Mentorship and buddy programmes.
Opportunities to develop their engineering knowledge.
An in-person intern cohort.
Engineering talks and learning opportunities.
Social and community engagement activities.
Opportunities to expand their professional network.
Relocation support where applicable.
Travel benefits where applicable.
Office perks including snacks and drinks.
Catered lunches on Monday, Wednesday and Friday.
Benefits may vary depending on the country of employment and the nature of the employment arrangement.
Datadog provides mentorship and buddy programmes intended to support interns throughout their experience.
Working alongside experienced engineers can help interns develop their understanding of professional software engineering practices while gaining practical experience through real-world projects.
The in-person intern cohort also provides opportunities for participants to build relationships with other students and expand their professional network.
Datadog states that the role offers a competitive salary and may include additional compensation elements.
Actual compensation may depend on factors such as the candidate’s skills, qualifications and experience.
Datadog notes that some positions may be subject to U.S. export control regulations and that certain roles may require candidates to be eligible for required authorisations from the U.S. government.
Applicants should carefully review the requirements associated with the specific position for which they are applying.
Applicants should ensure that their application materials meet Datadog’s stated requirements.
Candidates are instructed to submit their CV/resume in English.
Datadog recommends that students use their personal email address rather than their university email address, where possible.
This can help ensure continued access to application communications after graduation or changes in university email access.
Interested students should apply through the official Datadog careers platform.
Review the Software Engineering Intern opportunity carefully.
Confirm that their academic background or practical experience aligns with the requirements.
Ensure they are targeting a 2028 full-time start date.
Prepare an updated CV/resume in English.
Highlight relevant programming, computer science, software engineering, AI or technical project experience.
Review the internship location and ensure they can work full-time from the New York or Boston office during the programme dates.
Submit the application through the official Datadog careers platform.
Students can also sign up for a free Datadog Pro account to learn more about Datadog’s platform and products.
This can provide students with an opportunity to become more familiar with the company’s technology and observability platform.
Datadog is an observability and security platform designed for the AI era.
The company provides businesses with visibility across their technology stacks, bringing together applications, infrastructure, data, models and security.
Datadog uses AI to help organisations detect and resolve issues and supports businesses operating complex technology environments at scale.
The Software Engineering Internship provides an opportunity to gain practical experience beyond academic coursework.
Interns can work on real engineering problems involving large-scale systems while learning from experienced engineers and mentors.
The combination of hands-on technical work, mentorship, collaboration and exposure to large-scale systems can provide valuable experience for students preparing for careers in technology.
The Datadog Software Engineering Internship 2027 is an opportunity for students interested in software engineering and modern technology to gain hands-on experience working on systems that support Datadog’s observability and security platform.
Interns can contribute to real-world projects across backend engineering, frontend development, infrastructure, data engineering, distributed systems, Kubernetes, cloud-native services, AI and developer tooling.
The internship will run from January 4 to April 23, 2027, and candidates must be available to work full-time from Datadog’s New York or Boston office during the programme.
Students targeting a 2028 full-time start date and possessing strong computer science fundamentals, programming skills and an interest in AI-assisted software development are encouraged to review the opportunity and apply.
Discover more opportunities on the OFY Webpage.
candidates must be available to work full-time from Datadog’s New York or Boston office during the programme.
Be pursuing a degree in Computer Science, Software Engineering or a related technical field, or have equivalent practical experience. Be targeting a 2028 full-time start date. Have strong computer science fundamentals. Understand data structures and algorithms. Have knowledge of software design. Be comfortable coding in at least one programming language.
The countdown is on! Applications for ESA’s Student Internship Programme are now open. This is your moment to take the first step towards an extraordinary ...
The MPI Young Scholars Program 2027 offers paid research and communications internships for emerging migration leaders. If you want practical experience in...
The African Center for Economic Transformation (ACET) is linked to a Procurement Intern opportunity in Accra, Ghana. However, the official page provided do...
Are you a creative graduate with a passion for digital media, graphic design, video production, social media and storytelling? The Gauteng Tourism Authorit...
