Top Software Engineer Jobs

Join Datadog as a Senior Software Engineer on the Cloud Security team. Build and operate distributed, high-throughput, real-time data pipelines using Java, Go, and other languages. Own impactful parts of the service and contribute to innovation and product launches. Enjoy a hybrid workplace culture with a focus on growth and collaboration.

The Senior Software Engineer on the API Frameworks team at Datadog is responsible for building reliable frameworks and libraries for developing and managing web-facing and internal applications. They focus on defining the future of the API Platform, empoweing engineering teams, and maintaining API standards. The role requires 5+ years of experience in software engineering, familiarity with distributed web applications, and expertise in Python, Golang, or Java.

Debug and solve challenging cross-systems issues in production, remove scaling bottlenecks, lead architectural decisions, and work in a fast-paced startup environment to build a new product. Must have experience with high-scale distributed systems like Elasticsearch, Cassandra, and Kafka.

Building a platform for engineers to understand, scale, and protect systems, applications, and teams. Solving scaling bottlenecks, deploying new features, fixing production issues, designing for high-scale traffic, and planning projects. Requires significant experience in Java, Python, or C++, value for code simplicity and performance, and a BS/MS/PhD in a scientific field. Fast-paced startup environment that values its engineers and customers.

Senior Software Engineer role at Datadog, responsible for solving scaling bottlenecks, deploying new features, investigating and fixing production issues, designing for scalability, and planning projects. Requires significant experience in multiple languages, code simplicity, performance, and architecture design at high scale. BS/MS/PhD in a scientific field or equivalent experience. Fast-paced startup environment with emphasis on growth and technology passion.

Building platform for engineers to understand, scale, and protect systems. Solve scaling bottlenecks, deploy new features, investigate production issues, design for scalability, plan projects. Requires significant language experience, code simplicity, high-scale architecture design, scientific background. Fast-paced startup environment.

Debug and solve challenging cross-systems issues in production, remove scaling bottlenecks, lead architectural decisions, operate in a fast-paced startup environment, and work with distributed systems like Elasticsearch, Cassandra, and Kafka.