Job Number: R50031815
Brand: Fox Corporation
Job Type: Engineering, Technology
Location Type: Hybrid
Experience Level: Experienced Hires
Location: New York, New York
Job Posting Date: March 3, 2026
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 Staff Backend Engineer to design, build, and operate the media processing platform for ad creatives: transcoding, packaging, transcription, brand detection, content rating, and ad media review. You will contribute to system design, build and maintain critical online services and pipelines, and be responsible for autoscaling and reliability to ensure timely, low‑latency processing at scale.
Service Architecture & Reliability
Own service availability, p99 latency, and throughput SLOs; drive autoscaling and capacity planning for high‑traffic and high‑throughput processing.
Implement multi‑region readiness: redundancy, traffic shifting, canary/blue‑green rollout, and safe rollback.
Define gRPC/protobuf and event/queue contracts and compatibility policy; enforce deadlines, timeouts, and retries.
Implement resilience patterns including idempotency, retries, timeouts, fallbacks, rate limiting, and circuit breakers to ensure reliability.
Performance & Scale
Perform performance modeling and capacity planning; forecast peak events and growth.
Reduce p99/p999 latency via concurrency control, batching, prefetching, and adaptive timeouts.
Design data locality and artifact caching; manage Redis use, cleanup, and key handling..
Build burst‑tolerant workflows with queues/streams; enforce backpressure and graceful degradation.
Design, implement, and maintain autoscaling policies, validate with load tests.
Optimize cost/perf: profiling, CPU/memory tuning, autoscaling tuning, and efficient data access.
Observability & Operations
Build comprehensive observability into services and pipelines 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.
Practice chaos/failure testing, load tests; maintain runbooks and readiness checks.
Security & Compliance
Implement secure authentication/authorization, secret management, and data privacy best practices.
Ensure data privacy/retention and auditability; partner with Security and Legal on policies.
WHAT YOU WILL NEED
8+ years building production backend systems; experience owning critical online services.
Expertise in distributed systems, concurrency, and performance engineering.
Proficiency in Golang or Elixir (both preferred); strong code quality and review standards.
Deep experience with AWS, Kubernetes, and Infrastructure‑as‑Code (Terraform).
Strong with PostgreSQL and Redis; streaming/queueing experience a plus.
Experience with object storage and queues/streams.
Track record of raising reliability (SLOs, error budgets) and improving on‑call quality.
NICE TO HAVE, BUT NOT A DEALBREAKER
Media processing expertise (transcoding/packaging: ffmpeg, HLS/DASH; brand/logo detection; content safety/rating; ad media review).
Led large incidents and resilience programs (chaos, fault injection, multi‑region).
Proven cost optimization at scale and data‑driven performance tuning.
Experience with experimentation platforms, traffic controls, and privacy‑aware data practices.
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Learn more about Fox Tech at https://tech.fox.com
#foxtechWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $179,000.00-284,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.