Top Tech Jobs & Startup Jobs in NYC, NY

As a Software Engineer on the Distributed Caching team, you'll build a high-throughput, low-latency in-memory cache, collaborating with internal services and scaling the solution to meet growing needs. Responsibilities include ensuring performance and efficiency, participating in on-call, and contributing to a collaborative team environment.

Develop and maintain secrets management tooling and provisioning services that enhance Datadog's products. Collaborate with internal engineers to build reliable identity management systems, focusing on OAuth and Cloud Provider IAM.

The role involves designing and implementing solutions to help Datadog engineers collaborate effectively and ship code to production. Responsibilities include owning critical developer workflows such as merge queue, change detection, and bundle release, along with meeting customers to understand their needs.

As a Senior Technical Program Manager, you will manage complex, large-scale projects, coordinate dependencies and integrations across organizations, and work with teams to ensure project goals align with deliverables. Your role will involve creating processes, tracking success metrics, and communicating effectively with stakeholders while optimizing efficiency.

As Engineering Manager for the OrgStore Query Team, you will mentor software engineers, drive technical roadmaps, solve complex technical issues, and align team objectives with business goals while contributing to the long-term innovation and efficiency at Datadog.

The Developer Advocate for Kubernetes will create content to establish Datadog as a leader in DevOps and cloud observability. Responsibilities include developing demos, public speaking, writing technical content, and engaging with open source communities. This role requires a strong background in software development and content creation around cloud-native technologies.

As a Staff Software Engineer on the Database Monitoring team, you will lead high-priority projects, provide technical leadership, and architect solutions to monitor database performance. You will work on automating query performance improvements and integrating generative AI tools while ensuring ease of use and scalability for high-volume environments.