Senior Software Engineer, Video Input/Output Systems

About Fubo:

With a mission to build the worlds leading global live TV streaming platform with the greatest breadth of premium content and interactivity FuboTV Inc. (NYSE: FUBO) aims to transcend the industrys current TV model. Fubo operates in the U.S. Canada France and Spain. The company also has a growing technology center in Bangalore India that is developing strategic product and technology features for the global Fubo platform.

Were rapidly growing in employees subscribers and content offerings! Which means we need your help taking us to the next level.

Fubo is committed to excellence through diversity which involves attracting talented people from diverse backgrounds and traditions. We encourage everyone to apply.

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).*

Were looking for a Senior Software Engineer with a strong backend development foundation and a good understanding of infrastructure fundamentals and this role youll 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 VidIOS 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 senior 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 Youll 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 lifecyclefrom 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 Were Looking For:

• 6 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 benefit package including Health/Dental/Vision coverage sponsored up to 100% for employees 401k Life Insurance and commuter benefits
• Free Premium Fubo Account
• Unlimited PTO days and regular company-wide activities.
• Fubos main Headquarters are located in Midtown Manhattan with offices in Denver Paris and Bangalore
• Fubo is an e-verified company

Fubos minimum base salary for this role if hired in New York City is $185000 per year; maximum base salary for this role is $215000 per year. Additionally this role is eligible to participate in Fubos equity plan annual cash bonus plans unlimited PTO and a full range of medical benefits. The final offer amount will be at the companys sole discretion and determined by multiple factors including years and depth of experience and expertise location and other business considerations.