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Build and scale distributed backend services that power New Relic’s observability platform while helping integrate AI agents into everyday software engineering. You’ll work with high-volume telemetry data, modern cloud tooling, and complex performance and scalability challenges.

Build the backend services, data pipelines, and integrations that power DoorDash’s accounting and financial reporting workflows at scale. This senior role combines distributed-systems engineering with finance-domain expertise and technical ownership.

Build scalable, event-driven Java microservices that power FanDuel’s personalized marketing experiences for millions of customers. You’ll own meaningful parts of the platform while working across AWS, event streaming, cloud infrastructure, and modern backend architectures.

Build and evolve high-performance Java microservices that power FanDuel’s real-time, personalized marketing ecosystem. You’ll shape scalable event-driven architecture, own production systems, and mentor fellow engineers.

Own the technical direction and hands-on delivery of a secure, reliable cloud platform powering healthcare data and AI products. This staff-level role combines platform engineering, DevOps, SRE, security, observability, and developer experience.

Own end-to-end automation and AI solutions that help Performance Marketing move faster, from translating marketer needs into technical designs to shipping production systems. Build full-stack tools, marketing-platform integrations, and campaign technologies while mentoring engineers and serving as the primary technical partner to marketing stakeholders.

Help customers solve sophisticated technical problems and get the most from MongoDB, from application architecture and development through deployment and optimization. This remote Paris-based role combines deep software expertise, customer advising, training, and product influence.

Build and operate production-grade AI automation that improves employee services at Scout24. You will shape technical direction, integrate enterprise workflows, establish responsible evaluation and human oversight, and continuously improve AI applications in production.