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.

Lead design and delivery of AI-powered product experiences for Datadog Notebooks and adjacent surfaces. Role requires 6+ years of engineering experience, proficiency in Go or Python, hands-on production experience with LLM technologies, and experience building and operating reliable backend services; position is offered in multiple European locations with a hybrid work model.

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.

Role focuses on building and extending platform security solutions to secure Datadog's infrastructure and applications. Responsibilities include solving cloud infrastructure and application security problems, enabling engineers to ship secure solutions, influencing product direction, and securing deployment and management mechanisms. Required experience areas include Kubernetes (self-managed), major cloud providers (AWS/Azure/GCP), languages such as Go/Python/Rust, PKI and networking technologies (Consul, Envoy, Cilium, Vault, Istio), and familiarity with security frameworks (OWASP, MITRE ATT&CK, PASTA/STRIDE, CIS).

Datadog is hiring a Staff Application Security Engineer to define AppSec frameworks and standards, build automation and observability, lead threat modeling and risk assessments for complex features, partner across security and engineering teams, and address security risks introduced by AI-powered features and agentic development practices. The role requires hands-on code review experience (Go preferred; Python or Rust acceptable), strong knowledge of OWASP Top 10, SAST/DAST, API security, and software supply chain security, plus the ability to influence engineering and executive stakeholders.

Technical leader responsible for designing, implementing, and operating semantic infrastructure and platform capabilities that enable telemetry modeling, schema evolution, and semantic interoperability across Datadog products. Responsibilities include driving technical direction, partnering with engineering and product teams, mentoring engineers, participating in on-call rotations, and resolving complex production incidents.

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.

Staff Software Engineer on Datadog's Security Agent team responsible for architecting and implementing eBPF-based monitoring, kernel-level instrumentation, and performance-sensitive agent features to enable runtime threat detection, workload protection, and related cloud security capabilities. Role includes technical leadership, cross-team collaboration, testing methodology improvements, and ownership of feature delivery across products.

Lead design and development of low-level Linux instrumentation and runtime security capabilities (eBPF, kernel internals) for Datadog Security products. Drive end-to-end delivery, testing, and cross-team collaboration while providing technical leadership and mentoring.

Lead design and development of security agent capabilities powering runtime threat detection and workload protection across Datadog Security products. Work includes building eBPF-based monitoring, kernel-level instrumentation, performance-sensitive systems, and large-scale data collection, and partnering with cross-functional teams to deliver platform capabilities.

Datadog seeks a Senior Software Engineer for REDAPL, its Referential Data Platform, to drive architecture and implementation of high-scale data ingestion, processing, and query pipelines (including a graph/query engine). The role involves leading technical projects, collaborating with product teams, and improving platform performance, cost efficiency, and resilience. Experience with distributed systems, backend/platform engineering, and graph databases or query engines is emphasized.

Join Datadog's REDAPL team to design and build a query engine and other platform components for high-throughput relationship traversal, data ingestion, processing, and querying. The role involves leading technical initiatives, improving scalability, resilience, and performance, and collaborating with internal product teams. Experience with distributed systems, back-end engineering, and graph databases is highlighted.

Work on REDAPL to build a query engine supporting efficient relationship traversals and improve data ingestion, processing, and query pipelines. Lead and drive high-priority platform projects, contribute to architecture and reliability, and collaborate with product teams. Requires BS/MS/PhD or equivalent experience, several years in platform/infrastructure or backend engineering, and experience building/operating distributed systems. Bonus experience: graph databases (e.g., Neo4j, JanusGraph, ArangoDB, Amazon Neptune), Apache Iceberg, and production query-engine or query-planning work.

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.

Lead development of LLM observability features at Datadog, designing and scaling systems for tracing, model evaluation, drift detection, and debugging inference pipelines. Role expects strong experience with distributed systems and scalable backend architectures, hands-on experience building LLM/GenAI applications, and familiarity with observability tools.