Sr. Backend Engineer (SGAI)

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION

At AdRise, we build cutting-edge advertising capabilities for Tubi and across the Fox portfolio of brands across Sports, Entertainment and News, and including Fox One, the new direct to consumer streaming service.

Before streaming became industry standard, AdRise powered Tubi's growth from the ground up by developing real-time ad delivery and dynamic targeting infrastructure that scaled to serve hundreds of millions. That same tech foundation is now fueling FOX's cross-portfolio monetization strategy. Put simply, we are creating the most efficient, intelligent, and transparent advertising ecosystem in the world, starting with streaming.

We are enhancing the in-house ad tech stack by optimizing server-side delivery, building ML-driven targeting systems, and enabling content-personalized ad experiences that respond to what viewers actually watch. From real-time decisioning to data collaboration with AWS and Databricks, we are creating a smarter, more dynamic ad tech ecosystem. The problems are complex, the visibility is high, and the platform is built for impact. If you want to work at the center of streaming monetization on systems that touch hundreds of billions of impressions and shape the next generation of personalized advertising, this is your platform.

ABOUT THE ROLE

We are seeking a Senior Backend Engineer to build SGAI (Server‑Guided Ad Insertion) services that power personalized advertising experiences. SGAI enables personalized ad delivery in streaming services. You will design and operate scalable backend systems that coordinate ad delivery workflows, ensure high availability, and drive performance optimization across our streaming platform.

Service Architecture & Reliability

• Design, build, and scale microservices to power the SGAI system.

• Own service availability, p99 latency, and throughput SLOs; drive autoscaling and capacity planning for high-traffic systems.

• Deploy and operate services on Kubernetes, with rolling/canary rollouts and HPA-based autoscaling.

• Design inter-service APIs using gRPC (protobuf); ensure backward-compatible schemas, deadlines, and retries.

• Implement resilience patterns including idempotency, retries, timeouts, fallbacks, rate limiting, and circuit breakers to ensure reliability.

Performance & Scale

• Profile backend services, identify bottlenecks, and optimize memory/CPU utilization.

• Design and implement caching strategies, and leverage Redis/CDNs to reduce latency and improve efficiency.

• Architect scalable workflows using queues and streams to handle traffic bursts and asynchronous operations.

Observability & Operations

• Build comprehensive observability into services through metrics, tracing, and structured logging.

• Define and maintain SLIs/SLOs, set actionable alerts, and ensure system reliability through robust monitoring.

• Participate in on-call rotations and incident response; lead postmortems and drive long-term fixes.

Security & Compliance

• Implement secure authentication/authorization, secret management, and data privacy best practices.

• Enforce URL signing/encryption for playback session and ad endpoints to protect access.

WHAT YOU WILL NEED

• 5+ years of experience building production backend services, preferably in Elixir or Golang.

• Strong knowledge of distributed systems, concurrency, and performance profiling.

• Hands-on experience with cloud platforms (AWS), Kubernetes, and Infrastructure-as-Code (Terraform).

• Proficiency with datastores such as PostgreSQL and Redis.

• Experience with CI/CD pipelines, automated testing, and operational excellence in production environments.

NICE TO HAVE, BUT NOT A DEALBREAKER

• Domain expertise in ads or streaming technologies (e.g., SCTE-35, VAST/VMAP, CDN integration, HLS/DASH, SSAI, SGAI).

• Experience leading incident response, chaos/failure testing, and resilience engineering practices.

• Track record of cost optimization and performance tuning at scale.

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.

This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents. Toronto, Canada $165,000.00 - $180,000.00 CAD

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