Lead and grow a team building Datadog's Infrastructure as Code and Secrets security products; own roadmap, staffing, and delivery; stay hands-on with code review, design decisions, and on-call; integrate AI/agentic coding tools into workflows. Requires 2+ years managing software engineers.

Datadog seeks an Engineering Manager based in Paris to lead and grow a small team responsible for real-time sensitive-data detection across Logs, APM, and RUM telemetry pipelines. The role involves hands-on technical leadership (Go/Java, distributed and streaming systems), on-call participation, cross-team partnership with product and Trust & Safety, recruiting and mentoring engineers, and shaping product direction with customer and business impact in the security and observability domain. The position is offered in a hybrid workplace.

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.

Lead a team of engineers to own and evolve Datadog's Source Code Integration platform, driving technical strategy, stakeholder collaboration, and delivery of scalable backend systems. Requires hands-on backend experience (e.g., Go, Python, Java), familiarity with PostgreSQL, Kafka, event-driven and distributed systems, platform operations, and proven people-management and cross-functional collaboration skills.

Lead a small, high-output engineering team to own delivery metrics (cycle time, review latency, reliability), run cadences (planning, standups, retros), command incidents and run blameless RCAs, hire and coach engineers, and design/process automations. Role expects strong written communication, use of GitHub/Notion and AI tools, and experience improving delivery outcomes. Remote with equity and profit sharing.

Datadog seeks an Engineering Manager (Manager I) to grow and lead the Evaluation & Annotation team on the AI Platform. Responsibilities include defining technical vision and roadmap, building evaluation and annotation tooling, partnering with Applied AI and infrastructure teams, and participating in code/design reviews while managing and developing a 4–6 engineer team. Role is based in Paris and operates in a hybrid workplace.

Lead a team responsible for Husky, Datadog’s distributed petabyte-scale columnar event store. Responsibilities include managing engineers, reviewing architecture and RFCs, ensuring operational excellence and on-call practices, and scaling the system (ingestion, persistence/compaction, metadata services) to meet growing scalability needs. Role is based in Paris with a hybrid workplace model. Benefits mentioned include equity (RSUs), ESPP, and professional development programs.

Lead the technical roadmap and manage a distributed engineering team for Wikimedia Enterprise, focusing on architecting, building, and maintaining high-volume data ingestion and B2B services. Responsibilities include team development and coaching, owning technical decisions, collaborating on product strategy, hiring, budgeting, and ensuring reliability/SLA delivery. Technologies mentioned include AWS, Kafka, Node.js, Go, PHP, Kubernetes/ECS and observability tooling.

Ashby is hiring an Engineering Manager for its European engineering organization (remote across the European Union and multiple listed countries). The role focuses on building teams, coaching engineers to take end-to-end ownership, staying technically hands-on (debugging, shipping small fixes, improving dev experience), and influencing product and technical decisions. Tech stack mentioned: TypeScript, Node.js, React, Apollo GraphQL, Postgres, Redis; benefits include competitive salary and equity, unlimited PTO, and equipment/education budgets.