Software Engineer, Video Input/Output Systems

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).*

We’re looking for a Software Engineer with a strong backend development foundation and a good understanding of infrastructure fundamentals and principles. In this role, you’ll play a critical part in building and maintaining scalable, reliable, and performant systems that power our video infrastructure and core services. This role requires a hands-on engineer who is comfortable operating across both software delivery and system reliability.

The Video Input/Output Systems team manages all aspects of linear video, including ingest, storage, distribution, advertising, scheduling, and client playback at scale.

This is an exciting opportunity for a software engineer to collaborate with internal and external stakeholders, designing efficient systems to meet key business needs. You will work closely with our Streaming Media Operations (Acquisition, Encoding, Operations), Advertising Engineering, Platform, Product Management, Players, Content Distribution, and Sales teams to develop integrated solutions.

What You’ll Do:

• Design and develop high-throughput, low-latency video backend services, with an emphasis on scalable architecture, efficient data processing, and fault-tolerant system behavior under peak traffic conditions


• Instrument services with detailed metrics, distributed tracing, structured logging, and health checks to support real-time observability and actionable alerting


• Own the reliability lifecycle—from designing SLIs/SLOs to leading incident response, triage, on-call rotations, and long-term reliability engineering initiatives


• Architect scalable and event-driven services and microservice to support millions of concurrent viewers


• Collaborate deeply with SRE and partner teams to optimize service performance across edge caches, CDNs, and cloud regions, with attention to cost, failover resilience, and traffic shaping


• Participate in design reviews, code reviews, and technical planning to ensure long-term system health, maintainability, and resilience

What We’re Looking For:

• 3+ years of experience delivering production-quality software in complex, high-traffic environments, with expertise in Go (primary), Python, Java , or similar languages


• Strong foundation in distributed systems , microservices architecture , and event-driven design patterns


• Proven infrastructure skills, including monitoring , alerting , logging , and incident response best practices


• Experience designing and consuming RESTful APIs , and working with relational or SQL-like databases


• Familiarity with video playback services and streaming technologies such as HLS, DASH, CMAF, SSAI, DRM , and signaling protocols like SCTE-224, SCTE-35, POIS


• Skilled in deploying and managing systems in cloud environments (e.g., GCP , AWS ), with Kubernetes , Terraform , Prometheus , Grafana , or equivalent tools for observability and infrastructure-as-code


• Experience with caching strategies , CDN optimizations, and backend performance tuning is a strong plus


• An effective communicator and collaborator , comfortable mentoring others and driving cross-functional projects end to end

Bonus Points:

• Experience in video streaming, CDN, or media infrastructure domains


• Experience with Large Language Models (LLMs) or machine learning techniques to optimize manifest personalization, enhance ad targeting, or improve viewer experience prediction


• Familiarity with content recommendation engines, audience segmentation, or A/B testing frameworks for optimizing playback and monetization strategies

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 benefits 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 $185,000 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.