Senior Manager, Software Engineering

Welcome to Warner Bros. Discovery the stuff dreams are made of.

Are you the right candidate for this opportunity Make sure to read the full description below.

Who We Are

When we say, the stuff dreams are made of, we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.

Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.

Here you are supported, here you are celebrated, here you can thrive.

Role Overview

As an Engineering Manager here you are passionate about using software-based approaches to solve complex data-driven challenges and automate those solutions.

Within our organization, you’ll lead efforts aimed at scaling our existing data offerings and establish the technical strategy for how we can better equip engineers and leaders with Data Platform.

You’ll build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data, and cloud knowledge, to optimize and evolve how we understand our technical ecosystem.

To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills.

You have experience practicing infrastructure-as-code, data lake management, AI / ML Knowledge, and Analytics. In addition, you’ll have strong systems knowledge and troubleshooting abilities.

Responsibilities :

• Develop platform tools and frameworks to the same standard as seen in open-source projects. Engage closely with the engineering community and open source them upon reaching maturity.
• Implement cutting-edge AI / ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes.
• Create tools and frameworks that enhance data processing, information retrieval, governance, and data quality in a cost-effective and user-friendly manner.
• Promote a culture of experimentation and data-driven innovation. Inspire and motivate through internal and external presentations and other speaking opportunities.
• Own the end-to-end architecture of the data platform, ensuring its efficiency, cost-effectiveness, security, and governance.
• Collaborate closely with other engineers to design and build an optimal and cost-efficient platform solution.
• Work in partnership with other engineers and managers to design and develop foundational elements of the platform.
• Assist in hiring, mentoring, and coaching engineers. Help build an engineering team that prioritizes empathy, diversity, and inclusion.

Requirements :

• Bachelor’s degree in computer science or similar discipline.
• 10+ years of commendable track record of delivering complex software engineering systems and platforms.
• 10+ years of programming experience using Python / Java / C / C++ or similar languages.
• 8+ years of experience in a wide variety of distributed systems and frameworks such as Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake.
• 5+ years of Cloud (AWS preferred) experience.
• Experience with Generative AI models, processes, tools and frameworks.
• Experience scaling and managing 15+ person teams and in managing managers is a plus.
• Experience leading in a highly cross-functional environment, likely collaborating closely with Engineering, Product Management, and / or Data Science.
• Communication and leadership experience, with experience initiating and driving large scale strategic initiatives.
• Strong interpersonal, communication and presentation skills.
• Drive to master emerging technologies and share experiences with team members.
• Ability to understand goals, strategies, and needs of the business as they relate to infrastructure and application development.

Nice to haves :

• Experience in Analytics Tools and Frameworks (such as Looker, Tableau or similar) is a huge plus.
• Experience in building AI / ML driven platform is a huge plus.

J-18808-Ljbffr