Software Engineer, Fubo

• Strong CS foundation
• Fluency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar) as part of your daily workflow, with the judgment to review, test, and validate AI-generated code before it ships
• Strong software engineering and communication skills
• 3+ years of experience delivering production-quality software
• Expertise in building microservices in Golang, Java, C++ or similar
• Familiarity with modern code-deployment toolchains (e.g. Docker, Kubernetes)
• Hands-on experience with relational and non-relational databases — you will be expected to ingest large datasets and make them accessible to others
• Professional experience using modern log/metric aggregation software (e.g. Datadog, Elasticsearch + Kibana, Splunk)
• Experience working with external stakeholders

Desirable

• Fubo is seeking an enthusiastic Software Engineer to join our Ads Engineering team. You'll help build and scale the backend infrastructure and services that power Fubo's advertising platform — no prior ad-tech experience required, we'll ramp you up on the domain
• As an engineer on this team, you'll work on business-critical distributed systems and data problems: services that interface with ad-decisioning systems, video player vendors, ad routers, and server-side ad insertion partners
• You'll help increase the reliability and observability of this infrastructure and build tooling that lets our Advertising Operations and Sales teams move fast in a complex ecosystem. Over time, you'll become one of the team's go-to experts on our ad platform and the broader ad-tech landscape — but you don't need that background to start
• This is a great opportunity for an engineer who enjoys solving backend, distributed-systems, and data engineering problems, and wants exposure to a fast-moving, high-scale domain
• Build and support our ads engineering infrastructure and services
• Drive continuous improvements to the reliability, performance, accuracy, and security of services
• Solve distributed systems engineering and data problems, utilizing the best tools and technologies
• Build shared libraries, tools, or frameworks that improve engineering solutions
• Implement unit and integrations tests to maintain confidence in the platform's stability
• Identify and execute on opportunities to develop software to help increase efficiency, visibility, and performance of our ad technology
• Extract and aggregate data from a variety of sources into data warehouses
• Leverage AI tools across the development lifecycle — coding, testing, debugging, and documentation — to move faster without lowering our quality bar