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
Fox Corporation is home to industry-leading brands including
FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, Tubi Media Group, and FOX One
, our recently launched direct-to-consumer (DTC) platform.
Across our portfolio, we build and operate large-scale digital platforms that serve millions of users globally. Our teams combine innovative technology, deep data insights, and world-class content to deliver highly personalized, reliable, and scalable consumer experiences across web, mobile, and connected TV platforms.
ABOUT THE ROLE
As an
SDET (Software Development Engineer in Test)
working on backend systems for
API, Personalization & Recommendations (PNR), or Search
, you will own
backend quality end-to-end
across highly distributed, ML-powered systems.
While this is a
QA-focused role
, it demands strong
software engineering skills
to build scalable automation, validation frameworks, and quality systems for complex backend and ML-powered platforms.
This is
not a manual QA role
. The focus is on
automation, systems thinking, and quality engineering at scale
. You will define test strategies for complex service interactions, build and scale backend automation, and ensure release confidence for high-traffic, production-critical systems.
You will work closely with Backend Engineers, Platform teams, Data Scientists, and ML Engineers to ensure
correctness, reliability, and early detection of issues
, well before they impact users.
This role requires
strong quality engineers
who take end-to-end ownership of backend quality, can work independently with minimal guidance, and consistently uphold a high bar for correctness, reliability, and engineering rigor in test and automation.
A SNAPSHOT OF YOUR RESPONSIBILITIES
Backend Quality & Automation (Core)
Own backend quality
end-to-end
, including test strategy, automation, and release confidence.
Design, build, and maintain
robust automation frameworks
for API, service, data, and workflow validation.
Build scalable, reusable
backend automation and regression suites
, not one-off scripts.
Validate synchronous and asynchronous flows across distributed microservices.
Validate data persistence, caching behavior, and consistency across services.
Perform service virtualization and dependency mocking where required.
PNR, ML & AI Systems Validation
Validate
personalization and recommendation workflows
as backend capabilities.
Verify correctness of inputs, outputs, and decisioning logic for ML-driven services.
Validate
model inference pipelines
, including online and batch inference.
Partner with Data Scientists and ML Engineers to understand expected behavior, metrics, and edge cases.
Validate data quality, transformations, and feature correctness feeding downstream ML systems.
Support validation of ML concepts such as features, training vs inference, evaluation metrics, drift, and bias.
Search & Intelligent Discovery Validation
Validate
advanced search systems
, including semantic and vector-based search.
Validate search relevance, ranking correctness, and query understanding pipelines.
Validate systems supporting NER, intent detection, query classification, and query rewriting.
Validate
LLM-powered and conversational search experiences
, including multi-turn and agentic flows.
Perform scenario-based validation of search and recommendation decisioning logic.
Performance, Reliability & CI/CD
Execute and support
performance, scalability, and reliability testing
for backend services.
Build monitoring and validation pipelines that detect issues
early and proactively
.
Integrate automation into
CI/CD pipelines
to ensure consistent quality gates.
Partner with engineering teams to continuously improve testability, observability, and system resilience.
WHAT YOU WILL NEED
Bachelor’s or Master’s degree in Computer Science or a related technical field.
3–7 years of experience
as an SDET or Automation Engineer with a strong backend focus.
Strong software engineering and automation skills using
Python or Java
.
Solid understanding of
distributed systems, microservices, and event-driven architectures
.
Experience validating
APIs, services, data pipelines, and complex backend workflows
.
Experience testing
personalization, recommendation, or search platforms
.
Practical experience validating
AI/ML-powered systems in production environments
.
Working knowledge of ML concepts, including features, training vs inference, evaluation metrics, drift, and bias.
Experience validating data pipelines built on platforms such as
Spark, Databricks, Kafka
, or similar.
Strong
SQL skills
for large-scale data validation.
Experience with
CI/CD systems
and Git-based workflows.
Exposure to
cloud platforms
such as AWS, GCP, or Azure.
Strong debugging, analytical, and communication skills.
Ability to take ownership of backend quality and drive results with minimal guidance.
#LI-SS1
We 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.
