Top Tech Jobs & Startup Jobs

As a Software Engineer at Datadog, you'll work on collecting, aggregating, visualizing, and analyzing high-scale metrics and logs. Responsibilities include solving critical service bottlenecks, deploying new features, optimizing services for scale, and collaborating with your team on key projects.

As a Staff Engineer for OpenLineage at Datadog, you will lead the development of OpenLineage integrations, design the event intake system, participate in the OpenLineage community, and manage issue remediation while collaborating with cross-functional teams to enhance data observability tools.

As a Staff Software Engineer at Datadog, you will enhance the REDAPL platform by designing projects that improve its value and scalability, provide technical leadership, guide architectural decisions, and mentor engineers. You'll collaborate with product teams and address system risks while driving key initiatives within the organization.

The Staff Software Engineer will enhance Datadog’s Driveline component, focusing on improving resilience and scalability. Responsibilities include leading architectural decisions, addressing system risks, and collaborating with cross-team partners on significant initiatives related to high-throughput, real-time systems.

As a Senior Technical Program Manager, you'll lead complex projects across technical teams, manage integrations and migrations, and improve processes. You will analyze data, track KPIs, and communicate effectively with stakeholders while fostering collaboration across organizations.

The Senior Software Engineer will be pivotal in building user interfaces for control plane backend systems within the Platform Automation team, collaborating with DDS teams to consolidate tools and enhance management of distributed platforms. Responsibilities include developing browser and CLI interfaces, mentoring junior staff, and delivering solutions based on engineering needs.

As a Senior Software Engineer, you will design and develop scalable tools and infrastructure for data science and machine learning applications. Your role involves creating ecosystems for rapid experimentation, collaborating across teams, and documenting best practices in MLOps. You'll utilize your experience in distributed systems to lead projects aimed at improving model training, deployment, and evaluation.