Senior Software Engineer

Position: Labs Senior Software Engineer  

Location: NYC 

About Warner Bros. Discovery: 

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 Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and  
sports businesses. 
 
For more information, please visit www.wbd.com. 

We are hiring Senior Software Engineers to join our Labs Experimentation team based within NYC who have a strong experience in python, MLOps and data pipeline development. The ideal candidate has a track record of having built multiple high-performance, stable, scalable systems and data pipelines that have been successfully shipped to customers in production. Your work and your approach to work are exemplary: you drive best practices and set standards for your team.  You are a key influencer in your team’s strategy and contribute significantly to team planning. You show good judgment in making trade-offs between immediate and long-term business needs.  You are a collaborative leader that makes other engineers and team members around you more productive, by sharing your knowledge, and helping to tie-break key technical decisions. You will be reporting into the team based within the UK. 

 
What to bring 

• Strong DBT (Data Build Tool) experience in building and architecting data pipelines and analytics workflows. Including unit testing and data testing of DBT based SQL & Python models. 

• Expert in Databricks Platform (SQL, Compute, Clusters, ML, Workflows) 

• Expert in Python language (Asynchronous, non-blocking, functional style of programming and experience implementing with Python. Managing custom Wheel files and writing libraries) 

• Expert SQL & NoSQL experience and query performance tuning. 

• Strong experience of streaming data, ML Ops and analytics workflows at scale. Including data pipeline architectures, performance tuning and running production ML models. (Databricks) 

• Strong in (Python) PySpark, Notebooks and Data Science Libraries (Scipy, Numpy, Pandas, Scikit-learn) 

• Experience of Looker (or other BI tools) for data visualization.  

• Experience in Experimentation and A/B testing. 

• Strong Observability (O11y), alerting and monitoring solutions with Grafana, Prometheus and PagerDuty 

• Very strong Computer Science fundamentals in object-oriented design, architectural and design patterns, data structures & algorithms 

• Very strong expertise in cloud computing and hands on experience in delivering large scale distributed systems on cloud platforms like AWS and Hashicorp Terraform 

• Ability to apply strong analytical skills in delivering simple solutions for complex problems 

• Background in Data Science & Data Engineering (including math and statistics functions) 

• Very strong communication skills both written and verbal.  

• You can troubleshoot a production issue by reviewing source code, logs, operational metrics, stack trace, etc to pinpoint a specific problem and then resolve it.  

• You can identify root causes and identify learnings to improve both development processes and system design. 

• Working with data science teams to create models to improve the current experimentation platform.