Senior Software Engineer - Kafka - AMS Team, Bangalore

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

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.

Senior Software Engineer - (Asynchronous Messaging Services Team), Bangalore

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 Warner Bros Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com

About the Team

Our team serves as the Center of Excellence for asynchronous messaging across the organization. We design, build, and evolve a global event streaming platform that enables teams to build reliable, scalable, event-driven systems.

We treat messaging as a platform product, not just infrastructure. Our mission is to make event-driven architecture secure, scalable, and easy to adopt for engineering teams worldwide.

We build and operate a Kafka-as-a-Service platform on Confluent Cloud, supporting high-throughput telemetry pipelines, business-critical event streams, and large-scale data processing systems.

We are looking for a Senior Software Engineer who is passionate about distributed systems, platform engineering, and cloud automation to help evolve our messaging platform and guide the adoption of event-driven architecture across the organization.

• We build platform capabilities, not just infrastructure.
• We emphasize automation, reliability, and self-service developer experiences.
• We design systems for global scale, high throughput, and fault tolerance.
• We establish messaging standards and architectural patterns used across the company.
• We collaborate closely with application teams to help them adopt event-driven systems effectively.

• Design and evolve our Kafka-as-a-Service platform built on Confluent Cloud.
• Architect scalable, secure, and resilient Kafka deployments across multiple regions.
• Develop platform automation and tooling using Python, Java, or Go.
• Design and implement Infrastructure-as-Code solutions using Terraform on AWS.
• Improve platform capabilities including observability, reliability, scalability, and operational automation.

• Guide engineering teams in designing event-driven architectures.
• Provide best practices for:
  
  • Topic design and partitioning strategies
  • Consumer scaling and performance optimization
  • Schema governance and evolution
  • Event versioning strategies
• Design and implement self-service platform capabilities for internal engineering teams.

• Improve platform reliability, monitoring, and incident response processes.
• Participate in and help lead on-call rotations and incident resolution.
• Drive automation that reduces operational overhead and improves platform resilience.

• Bachelor's degree in Computer Science or related field (or equivalent experience).
• 5-8 years of professional software engineering experience.
• Strong programming experience in Python, Java, or Go.
• Hands-on experience with Kafka administration or operations (Confluent Cloud preferred).
• Experience designing or operating distributed systems in production.
• Strong experience with AWS cloud infrastructure.
• Experience building Infrastructure-as-Code using Terraform or similar tools.
• Experience operating and troubleshooting production systems at scale.
• Strong understanding of distributed systems fundamentals.

• Operating Kafka at scale, including:
  
  • Topic configuration and partition strategies
  • Consumer group scaling
  • Schema Registry management
  • Multi-region replication and disaster recovery
• Event-driven architecture and streaming frameworks (e.g., Kafka Streams).
• Kubernetes-based distributed systems.
• High-throughput, low-latency systems.
• Observability platforms (metrics, tracing, logging).
• Experience working in globally distributed engineering teams.

• Take ownership of complex technical problems and drive them to resolution.
• Design systems with scalability, reliability, and operational simplicity in mind.
• Write high-quality, maintainable, and well-tested code.
• Mentor engineers and contribute to a collaborative engineering culture.
• Proactively identify improvements in architecture, tooling, and platform capabilities.
• Balance long-term architectural improvements with pragmatic delivery.
• Communicate technical concepts clearly across teams.
• Demonstrate strong operational ownership for systems running in production.