The job, in the employer's words
About Fubo:
FuboTV Inc. is a consumer-first live TV streaming company that is defining the future of TV.
Ranked among Fast Company’s Most Innovative Companies (2026) and the Financial Times’ The Americas’ Fastest-Growing Companies (2026, 2025), FuboTV owns Hulu + Live TV (entertainment), Fubo (sports) and Molotov (entertainment and sports), which stream in markets around the globe.
Our Mission:
Our mission is to deliver premium sports, news and entertainment programming through a best-in-class user experience that offers greater choice, flexibility and value.
About the Role:
*This role is a New York City based HYBRID position. Candidates must be located in NYC, and willing to come into the office on a hybrid basis, three times a week (Tuesday, Wednesday, Thursday).*
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.
What You'll Do:
- 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
Minimum Qualifications and Experience:
- 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
Ideal Qualifications and Experience:
- Deep passion for the distributed systems space and solving complex problems
- Familiarity with microservice architectures and experience building infrastructure platforms and tools
- Experience building with LLM APIs or agentic workflows (e.g., AI-powered internal tools, MCP integrations, automation agents)
- Previous experience working with online advertising or previous ad-tech experience
- Familiarity with VAST, VMAP, SSAI
- Familiarity with video ad servers like Freewheel, Publica, or Google Ad Manager
- Experience writing and deploying cloud-agnostic code (e.g. GCP, AWS)
Perks & Benefits:
- At Fubo, you will have the opportunity to personally influence what live media looks like after it goes through its next big transformation
- Fubo provides a highly competitive compensation based on experience and market standards
- Robust benefit package including Health/Dental/Vision coverage 401k, Life Insurance, and commuter benefits
- Free Premium Fubo Account
- Unlimited PTO days and regular company-wide activities
- Fubo's main headquarters are located in Midtown Manhattan, with offices in Paris, and Bangalore
- Fubo is an e-verified company
Fubo’s minimum base salary for this role if hired in New York City is $160,000 per year; maximum base salary for this role is $190,000 per year. Additionally, this role is eligible to participate in Fubo's equity plan, annual cash bonus plans, unlimited PTO, and a full range of medical benefits. The final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience and expertise, and other business considerations.
Benefits mentioned
- Fubo’s minimum base salary for this role if hired in New York City is $160,000 per year; maximum base salary for this role is $190,000 per year. Additionally, this role is eligible to participate in Fubo's equity plan, annual cash bonus plans, unlimited PTO, and a full range of medical benefits. The final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience and expertise, and other business considerations.
Requirements mentioned
- 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
- Deep passion for the distributed systems space and solving complex problems
- Familiarity with microservice architectures and experience building infrastructure platforms and tools
- Experience building with LLM APIs or agentic workflows (e.g., AI-powered internal tools, MCP integrations, automation agents)
- Previous experience working with online advertising or previous ad-tech experience
- Familiarity with VAST, VMAP, SSAI
- Familiarity with video ad servers like Freewheel, Publica, or Google Ad Manager
- Experience writing and deploying cloud-agnostic code (e.g. GCP, AWS)
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