Software Engineer II

Turner Services Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Warner Bros. Discovery is seeking a Software Engineer II to design, build, and operate AI-powered applications and platform capabilities.

You will collaborate with ML engineers, editorial and product teams, and platform engineers to ship features that enhance CNN’s user experience and productivity. The role emphasizes production-quality backend engineering, IaC practices, and strong ownership of AI-driven content understanding, with opportunities to impact ad targeting, content routing, and

Qualifications

• 3+ years of professional software engineering experience or 2+ years with a Master’s degree.
• Strong backend engineering experience with data-intensive applications at web scale.
• Proficiency in Python and at least one of Go, Java, or C++.
• Solid foundation in relational databases (Postgres) and NoSQL (DynamoDB).
• Demonstrated ability to design, build, and ship highly available, low-latency systems.

Responsibilities

• Author, test, review, and optimize production-quality code with IaC and CD
• Be a subject matter expert in one or more AI production systems and ship features
• Provide technical input during design of components and systems architecture
• Integrate ML models into production applications with guardrails and monitoring
• Solve business problems with practical, scalable software solutions
• Drive operational excellence: reliability, monitoring, alerting, and documentation
• Collaborate with editorial, product, and ML stakeholders to translate requirements
• Communicate effectively across teams through documentation and reviews
• Learn from experiments to align solutions with company goals

Skills

Python

Go

Java

C++

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

PostgreSQL

DynamoDB

Job description

Your New Role...

As a Software Engineer II on AI Systems, you will design, build, and operate AI-powered applications and the platform capabilities that support them. You will partner with ML engineers, editorial and product stakeholders, and platform engineers to ship features that improve CNN's user experience and internal productivity.

• Key challenges you will tackle: LLM-Based Content Understanding: Build the in-house, LLM-based content understanding capability that replaces a vended classification product — improving quality, expanding adoption to new business domains across CNN, and powering downstream use cases including ad targeting, content routing, and brand safety.
• Consumer-Facing AI Features: Ship and iterate on AI-powered features that reach millions of users — article summaries, weather summaries, and the next set of audience-facing experiences — with the accuracy and trustworthiness CNN's audiences expect.
• AI Platform Maturation: Grow CNN's AI platform capabilities — prompt management, evaluation, caching, versioning, deployment, and tenant management — so that AI features across CNN can be built, tested, and operated reliably and efficiently.
• Internal AI Tooling: Build AI-assisted workflows for editorial, product, design, engineering, and business teams that drive measurable productivity gains.

Your Role Accountabilities…

• Author, test, review, and optimize production-quality code, following best practices for IaC, version control, and continuous delivery with minimal oversight
• Be a subject matter expert in one or more AI Systems production systems, independently shipping high- quality features and helping others understand complex technical domains
• Provide technical input during design of components and systems architecture, driving technical decisions that create functional-level impact
• Integrate ML models and foundation models into production applications with appropriate guardrails, monitoring, and evaluation
• Solve business problems with simple and straightforward solutions, proactively defining problems and driving clarity for the team
• Drive operational excellence — building highly available, low-latency, and efficient software while thinking long-term about code health, monitoring, alerting, and documentation
• Partner with editorial, product, and ML stakeholders to translate requirements into reliable AI features
• Communicate effectively across audiences — technical documentation, code reviews, design reviews, and interactions with stakeholders and adjacent teams
• Embrace failure as a learning opportunity — use research and experimentation to choose solutions that meet company goals, moving autonomously from proof-of-concept to production

Qualifications & Experience…

• 3+ years of professional software engineering experience with a Bachelor's degree in Computer Science, Information Technology, or a related technical field (or 2+ years with a Master's degree)
• Strong backend engineering experience with data-intensive applications at web scale
• Proficiency in Python and at least one of Go, Java, or C++
• Solid foundation in relational databases (Postgres or equivalent), NoSQL databases (DynamoDB or equivalent), and infrastructure as code (Terraform or equivalent)
• Demonstrated ability to design, build, and ship highly available, low-latency systems
• Nice to Haves
• Experience integrating LLMs or foundation models into production applications
• Familiarity with prompt engineering, evaluation frameworks, or LLM observability
• Experience with classification, content understanding, or information retrieval systems
• Understanding of experimentation frameworks and A/B testing methodologies
• Prior experience working on a machine learning or AI team
• Background in media, publishing, or news organizations

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines WarnerMedia's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.