Top Software Engineer Jobs

Senior Software Engineer working on a Cloud Security Platform at Datadog. Responsibilities include building and operating distributed, high-throughput data pipelines using Java and Go. Must have significant backend programming experience and care about code simplicity and performance.

Datadog is seeking a Senior Software Engineer to join their Cloud Security Platform team. Responsibilities include building and operating real-time data pipelines, using Java and Go, and owning meaningful parts of the service. Candidates should have a scientific degree or equivalent experience, backend programming expertise, and a focus on code simplicity and performance. The role offers opportunities for growth and a collaborative work environment.

Build and operate distributed, high-throughput, real-time data pipelines using Java, Go, and other languages. Own significant parts of the service, emphasizing code simplicity and performance. Join a fast, high-growth startup environment that values engineers and customers.

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.

Design, Implement, and Share Ownership of Cloud Integrations. Work on building new features and functionality for Datadog's Cloud Observability products. Collaborate with product and engineering teams to deliver the next generation of products. Automate processes to free up engineering time for new product development.

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.