
Our Customer is the leading free streaming television service in America, delivering 250+ live and original channels and thousands of on-demand movies in partnership with major TV networks, movie studios, publishers, and digital media companies. This free broadcasting service is available on all mobile, web, and connected TV streaming devices, and millions of viewers tune in each month to watch premium news, TV shows, movies, sports, lifestyle, and trending digital series. Headquartered in West Hollywood, has offices in New York, Silicon Valley, Chicago, and Berlin.
Our Customer creates entertainment experiences that drive conversation and culture around the world. Through television, film, digital media, live events, merchandise, and solutions, our brands connect with diverse, young, and the young at heart audiences in more than 180 countries.
We are looking for a highly skilled Software Engineer with strong experience in Java, distributed systems, and stream-based processing to join our engineering team. You will design, build, and operate backend services that handle high-throughput workloads, integrate with cloud platforms, and support business-critical applications. This role also involves working with Node.js services, CI/CD pipelines, and modern infrastructure tooling, including Kubernetes, GitHub Actions, AWS, and GCP.
5+ years of experience building highly performant, scalable middleware APIs and backend services capable of handling thousands of requests per second (RPS).
Proficiency in Java with Spring Boot for developing scalable backend services.
Experience with Golang and familiarity with cloud technologies (e.g., EKS, ECS, Lambda, Elasticache, Aurora/RDS, SQS, SNS, Step Functions).
3+ years of experience building containerized applications (e.g., Docker) on container orchestration platforms (e.g., Kubernetes, ECS).
Hands-on experience with GCP technologies, including Pub/Sub, Kubernetes, MySQL, and Spanner.
Strong technical communication skills to articulate complex solutions.
Strong understanding of cloud concepts across AWS and GCP environments.