Staff Backend Software Engineer

Fox Corporation

Staff Backend Engineer leading scalable Python services for FOX’s audio/video hosting, monetization, and analytics platforms. Defining distributed-systems reliability, cloud infrastructure, observability, and AI-native development practices.

Posted 8/5/2026full-timeNew York City • Arizona, California, New York, Texas • 🇺🇸 United StatesLead💰 $143,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in backend engineering, particularly in designing and implementing RESTful APIs, managing distributed systems, and optimizing performance across cloud infrastructures. Proficient in Python, SQL, and various cloud services, with a strong focus on security and best practices in software development.

Highest-signal resume keywords

Python ExpertiseRESTful API DesignCelery ExperienceAWS Infrastructure ExperiencePostgreSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringService-Oriented SystemsAPIsSQLCeleryRedisTerraformCI/CDDockerTypeScript

Soft Skills

Excellent JudgmentWritten CommunicationCross-Team AlignmentInfluence Without Authority

Tools & Technologies

AWSGCPPrometheusGrafanaCloudWatchElastic BeanstalkGitGitHub Actions

Industry Keywords

MediaEntertainmentCreator EconomyCTCOTTSSAIVASTCDNEdge-Processing

Tech Stack

Tools & technologies

AWSBigQueryCloudDistributed SystemsDockerEC2Google Cloud PlatformGrafanaGRPCPostgresPrometheusPythonRabbitMQRedisSQLTerraformTypeScript

About the role

Key responsibilities & impact

Lead design and implementation of RESTful APIs and Celery asynchronous workers for publishing, media processing, SSAI/VAST workflows, imports, and reporting
Own reliability and performance of distributed systems and workloads, including queue design, deduplication, dispatch patterns, prefetch tuning, backpressure, and operational logging
Drive data and integration decisions across PostgreSQL, Redis, object storage, and data-warehouse-backed reporting
Lead or significantly contribute to Terraform and AWS changes involving Elastic Beanstalk tiers, IAM, networking, WAF, rate limits, observability hooks, and phased rollouts
Improve observability through structured logging, Prometheus-style metrics, Grafana, CloudWatch, and actionable on-call alarms
Define and evolve testing strategies for critical paths, CI checks, and operational readiness for risky migrations
Represent backend concerns in planning, design reviews, and incident discussions
Propose phased migrations, safer defaults, and maintainable long-term solutions
Establish best practices for AI-assisted coding tools and responsible AI usage across backend teams
Guide AI applications in system design, performance tuning, anomaly detection, developer tools, workflows, and observability

Requirements

What you’ll need

10+ years of professional backend or backend-heavy engineering experience, or equivalent depth
Strong Python expertise and experience designing service-oriented systems
Experience with APIs, background jobs, idempotency, failure modes, and capacity planning
Deep hands-on experience with Celery or similar systems and AMQP/RabbitMQ-class message brokers
Strong SQL and PostgreSQL experience
Practical Redis experience with coordination, rate limiting, circuit breaking, and concurrency correctness
Substantial GCP and AWS infrastructure experience, including AWS services such as EC2, ALB, IAM, CloudWatch, S3, RDS, and proxy patterns
Experience leading Terraform changes
Substantial cloud CI/CD experience
Security-minded engineering experience, including IAM, TLS, network egress, WAF, and rate limiting
Experience establishing engineering standards, component architectures, and development best practices
TypeScript, REST, JSON, gRPC, schema validation, Docker, containers, Elastic Beanstalk, Prometheus, Grafana, CloudWatch, structured logging, pytest, Git, and GitHub Actions/workflow-style CI/CD
Excellent judgment, written communication, cross-team alignment, and influence without authority
Experience in early-stage startup or rapidly evolving environments
Container deployment and multi-cloud networking are a strong plus
Authorization at scale is a strong plus
Media, entertainment, creator economy, CTV, OTT, SSAI, VAST, CDN, or edge-processing experience is nice to have
Druid, BigQuery, or experience with large analytical query constraints is nice to have

Benefits

Comp & perks

Medical, dental, and vision benefits
Insurance
401(k) plan
Paid time off
Other benefits in accordance with applicable plan documents