Staff Backend Software Engineer (R50033532

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.

We are looking for a Staff Backend Software Engineer to lead delivery of reliable, scalable services for audio/video hosting, monetization, and analytics in the media and creator space at a global footprint scale. You will work primarily in Python on APIs, asynchronous background job orchestration, infrastructure-as-code, and data pipelines alongside Celery, PostgreSQL, Redis, RabbitMQ, and cloud primitives on AWS and GCP, partnering with product, frontend, and infrastructure engineers.

• Lead design and implementation of RESTful APIs and async workers(Celery) for publishing, media processing, SSAI and VAST-related workflows, imports, and reporting.
• Own reliability and performance of distributed systems and workloads: queue design, deduplication, chord and dispatch patterns, prefetch tuning, back pressure, and operational logging that supports incident response.
• Drive data and integration decisions across PostgreSQL, Redis-backed coordination, object storage, and systems such as data warehouse-backed reporting (batching, limits, and cost-aware query patterns).
• Lead or significantly contribute to Terraform and AWS changes affecting the application: EB tiers, IAM, networking, WAF and rate limits, observability hooks, and phased rollouts.
• Raise the bar on observability: structured logging, Prometheus-style metrics, Grafana and Cloud Watch usage, and alarms wired to actionable on-call signals
• Define and evolve testing strategy for critical paths (unit and regression around task helpers and services, AI-driven testing), CI-friendly checks, and operational readiness for risky migrations.
• Represent backend concerns in planning, design reviews, and incident-style discussions; communicate trade-offs clearly to technical and non-technical partners.
• Anticipate scaling and complexity: propose phased migrations, safer defaults, and long-term maintainability over short-term hacks.

• 10+ years of professional backend or backend-heavy engineering experience in platform systems, or equivalent depth, including meaningful ownership of large services or platforms.
• Strong Python and a track record designing service-oriented systems: APIs, background jobs, idempotency, failure modes, and capacity thinking.
• Deep hands-on experience with Celery (or similar) and message brokers (AMQP and RabbitMQ-class), including heartbeats, retries, queue splits, and operational debugging.
• Strong SQL (PostgreSQL) and practical Redis usage beyond simple caching: coordination, rate limiting, circuit breaking, and correctness under concurrency.
• Substantial cloud infrastructure experience with GCP and AWS (for example AWS: EC2, ALB, IAM, Cloud Watch, S3, RDS and proxy patterns) and comfort leading Terraform changes.
• Container building, deployment (Docker, ECS, Kubernetes), and multi-cloud networking a strong plus.
• Substantial experience with CI/CD in cloud environment.
• Demonstrated leadership in security-minded engineering: scoped IAM, TLS for data stores, network egress discipline, WAF and rate-limiting concepts.
• Experience with authorization at scale (RBAC, ABAC, or policy engines) is a strong plus.
• Excellent judgment under ambiguity, written communication, and a record of raising team quality without blocking delivery.
• Experience in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1.
• Experience successfully driving cross-team alignment to get impactful work shipped, and work with influence over authority.
• Demonstrated experience establishing engineering standards, component architectures, and development best practices

• Languages and runtimes:
  Python, Type Script
• Async and jobs:
  Celery, AMQP, and RabbitMQ
• Data:
  PostgreSQL, Redis, S3 patterns;
  Druid, Big Query, or large analytical query constraints (nice to have)
• APIs: REST, JSON, gRPC, schema validation patterns
• Cloud and Infrastructure-as-Code: AWS, Terraform, Containers, Docker, Elastic Beanstalk exposure
• Observability:
  Prometheus metrics, Grafana, Cloud Watch, structured logging
• Testing and delivery: pytest, Git, Git Hub Actions/workflow-style CI/CD
• Domain (nice to have): media, entertainment, creator economy, CTV, OTT, SSAI, VAST, CDN, edge processing

This role goes beyond traditional engineering. As a Staff Engineer, you will help define how AI is integrated into backend development. The goal is to unlock smarter execution, faster delivery, and automation at scale, while ensuring…