Join the Alerting Platform Automation team to design and operate automation systems that create and manage alerting environments, shorten developer feedback loops, and improve CI/CD and developer tooling. The role involves collaborating with SRE, Core Infrastructure and Alerting teams, leading infrastructure projects, performing load and infrastructure testing, and improving reliability, isolation, and automatic scaling of services.

Join Datadog's ODP Governance team to build performant, large-scale distributed systems that provide governance tools and cost controls for telemetry across Metrics, Events, Logs, and APM. Responsibilities include designing and implementing high-scale backend systems, collaborating across product teams, identifying cross-product opportunities, and connecting engineering work to customer value and cost efficiency. Requires 6+ years' experience, strong backend programming skills (examples listed: Go, Java, Rust, C++), distributed systems experience, and excellent English communication.

Datadog seeks a Staff Software Engineer to design, build, and operate high-throughput streaming and batch systems powering automated anomaly detection. The role involves technical leadership across engineering teams, evolving platform architecture, and partnering with product and data science to integrate detection with alerting. Experience with distributed systems and technologies such as Flink, Kafka, Cassandra, Go, or Python is preferred.

Lead and grow a team (≈4–8) of library engineers to deliver and maintain Datadog’s customer-side runtime security capabilities across seven language libraries and HTTP proxy integrations. Responsibilities include people leadership, owning roadmap and delivery, contributing code, maintaining production health at scale, and coordinating across product, backend, and frontend teams. Experience in managing engineers, library/SDK or runtime development, and application or API security is emphasized.

Lead a greenfield initiative to build fault-tolerant, horizontally scalable, multi-tenant production services that synthesize technical datasets and power AI-driven operational automation. Requires 6+ years experience, proficiency in Go, and experience with large-scale distributed systems. Kubernetes, workflow orchestration, and AI-agent experience are bonuses. Hybrid role based in Paris, France.

Lead technical direction for capacity management and workload placement on Datadog's Kubernetes platform (100,000+ VMs). Design and build systems to optimize scheduling and deployment across regions and clouds, develop production software in Go, use capacity and operational data to inform decisions, and partner with infrastructure teams to evolve multi-region/multi-cloud orchestration. Requires significant experience with large-scale Kubernetes infrastructure, strong programming skills (ideally Go), and hands-on experience with at least one major cloud provider.

Lead technical direction for capacity management and workload placement for Datadog's Kubernetes platform spanning a large multi-cloud fleet. Design and build systems to optimize scheduling and deployment across regions, develop production software in Go, use capacity signals and forecasting to influence infrastructure decisions, and partner with infrastructure teams. Role is based in Dublin (Ireland), Madrid (Spain), or Paris (France); Datadog operates as a hybrid workplace.

Join Datadog's Data Platform Experience team to lead strategic engineering initiatives and build scalable platform capabilities (cost intelligence, operational intelligence, developer workflows) while providing technical leadership across teams. The role requires deep distributed systems and platform engineering experience and familiarity with backend technologies such as Java and Go and infrastructure like Kafka and Kubernetes; offices are in Dublin, Madrid, and Paris and the company operates a hybrid workplace.

Lead strategic engineering initiatives to improve how product teams build, operate, and evolve services on Datadog's Observability Data Platform. Design and build scalable platform capabilities (including cost intelligence, operational intelligence, self-service tooling, and reusable services), provide technical leadership and mentorship across teams, participate in on-call rotation, and drive platform reliability and observability. Requires experience with large-scale SaaS/cloud platforms, distributed systems, and backend technologies such as Java and Go; familiarity with Kafka and Kubernetes is mentioned.

Datadog is hiring a Senior Software Engineer to join the Private Action Runner team in Paris. The role involves designing and implementing scalable, secure action-execution infrastructure (authentication, permissions, auditing, safe execution), owning production reliability and deployments (including feature-flag rollouts), and mentoring/leading a small team of three engineers with an expected transition into an Engineering Manager 1 role. The position emphasizes leveraging AI tools and designing AI backend systems.

Join Datadog's Language Tools team to design and own build, test, and packaging tools (Bazel-based) used across a backend monorepo for languages including Go, Python, Java, Rust, and TypeScript. Responsibilities include improving CI performance and cost efficiency, running complex migrations, contributing upstream to the Bazel ecosystem, and treating CI with SRE-like practices. Positions listed for Atlanta, Boston, and New York; estimated salary range $244,000–$305,000 USD per year.

Work on Datadog’s Streaming Platform Client team owning Rust client libraries (with Java, Go, Python bindings) and the service bridging clients to the control plane. Responsibilities include designing resilient client/control-plane interactions, optimizing a high-throughput streaming library for performance and reliability, supporting internal users, and leading technical projects.

Datadog is hiring a Senior Software Engineer for the Streaming Platform Client team (hybrid, New York). The role focuses on the Rust client library (with Java, Go, Python bindings), architecting resilient client-control plane interactions, optimizing a high-throughput streaming library, operating bridging services, collaborating across teams, and mentoring junior engineers. Estimated annual salary range provided: $192,000–$240,000 USD.

Build and operate durable, highly available, low-latency distributed systems and data pipelines using languages such as Go, Java, Rust, or C++. Work with technologies including Kafka, Redis, Cassandra, and Elasticsearch. Requires 6+ years experience and scientific degree or equivalent.

Work on fault-tolerant, horizontally scalable distributed systems and data pipelines ingesting and querying high-throughput events. Languages and technologies used include Go, Java, Rust, C++, Kafka, Redis, Cassandra and Elasticsearch. Role emphasizes durability, low latency, operability and use of AI tools to assist development.

Datadog is hiring a Senior Software Engineer to solve scaling bottlenecks, deploy features with progressive rollout via feature flags, investigate and fix production issues, and design systems for higher traffic. Requires 6+ years experience, strong programming skills (Go, C, Python), system design for high scale, and experience or interest in applying AI coding tools and building AI backend systems. Familiarity with Redis, Cassandra, Kafka, observability (metrics, logs, tracing), and data pipelines is a plus.

Work includes solving scaling bottlenecks, deploying features with progressive rollouts/feature flags, investigating and fixing production issues, designing high-scale architectures and AI-aware backend systems. Role is based in Datadog's hybrid offices in Bordeaux and Paris.