Datadog, a leading global SaaS company, is seeking early-career software engineers to join their team working on high-scale metrics, logs, and application data. The role offers unique opportunities to work on distributed systems, Kubernetes, and products like Real User Monitoring and Cloud Security Management. As a company processing over a hundred trillion events daily for 28,000+ customers, Datadog provides an exceptional environment for engineers to make meaningful contributions to large-scale, real-time systems.
The position combines technical challenges with professional growth, offering early-career engineers the chance to work alongside senior team members while making lasting impacts on products. The hybrid workplace culture emphasizes collaboration, creativity, and work-life harmony. Engineers will be involved in critical tasks such as solving scaling bottlenecks, deploying new features, and optimizing services for increased traffic.
The ideal candidate should be completing their Computer Science degree or have equivalent experience, with a planned 2025 start date. While technical skills are important, Datadog values potential and passion for technology over complete qualification matches. The company offers comprehensive benefits including equity packages, professional development opportunities, mentorship programs, and a strong focus on inclusive culture. This role presents an excellent opportunity to join a fast-growing, publicly-traded company that champions both technical excellence and professional growth.