Senior Golang Software Engineer

Founded in 2013, our client is a hugely popular, cutting-edge online streaming television company from California. This free broadcasting service provides millions of viewers with more than 100 exclusive live and original channels that users won’t find on local TV. The content is full of TV shows of all kinds, premium news, on-demand movies, cartoons, viral videos, sports, lifestyle and trending digital series. In a nutshell, there is literally everything you’d like to see on your screen – hand-picked by people who know and love the entertainment industry.

More so, they offer a free app that runs seamlessly on multiple mobile, web and various connected TV streaming devices. Well-known online giants The Verge, Venture Beat, and Vibe declared our customer as ‘awesome’. So, we can say for sure that our client is redefining the future of television.

Our client is led by a seasoned team of entrepreneurs, TV and technology executives, and top-of-class team members. $43M+ funding with investors like US Venture Partners, Sky, Chicago Ventures, Universal Music Group, United Talent Agency and Pritzker Group. Top app with millions of users across platforms like web, iOS, Android, Roku, Apple TV, Amazon Fire TV, Android TV, Vizio, Samsung, and more.

One of the hottest startups in Los Angeles and one of the leading video platforms in the industry -often covered in NY Times, Forbes, Techcrunch, Variety, USA Today, CNN, Mashable and more!

High energy culture. Passionate entrepreneurial team. Massive market. Employing the best of the best in the industry. We’re building the future of television.

Enterprise Platform builds and runs the internal applications that connect teams and processes across Skydance. We own data access layers that sit between key user facing services, Command Center (our internal suite of apps), and a growing set of AI assisted apps and tools.

The Role

We’re looking for a Senior Software Engineer to design and build high performance, scalable backend services. You’ll work mainly in Go, building gRPC and REST APIs backed by a variety of GCP cloud services and components.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Design, build, and maintain data intensive gRPC and REST APIs in Go and Node.js
• Refactor legacy Node.js services into idiomatic Go, improving performance and stability.
• Build and operate Kafka pipelines for high throughput event streaming, including producer and consumer logic, schema management, and monitoring.
• Containerize and deploy Go microservices on Kubernetes (EKS and GKE), using AWS and GCP services to build resilient, cost-effective systems.
• Contribute to architecture reviews with practical feedback on scalability, fault tolerance, and cost.
• Review code, mentor junior engineers, and champion best practices in testing, CI/CD, and security.
• Partner with Product, Program Management, QA, and other teams to align delivery with business goals.
• Prototype emerging technologies, including AI-assisted tools, to build and scale large platforms and workflows.

What You Bring

• 5+ years of professional software engineering, including owning backend services in production.

• 3+ years building production, highly scalable Go services, with a solid grasp of concurrency, profiling, and performance tuning.

• Deep mastery of 1 or more programming languages

• Experience designing high performance gRPC and REST services, including protobuf contracts and API versioning.

• Experience building Kafka or event streams and connected apps, including schema evolution, topic design, ACLs, consumer groups, offset handling, and delivery guarantees.

• Production experience running services on Kubernetes in AWS (EKS) or GCP (GKE), and comfort working across both clouds.

• An AI first engineering workflow. You use agentic coding tools (Claude Code, Codex, Cursor, etc) daily to plan, write, test, refactor, and review code. You can explain how you keep quality high: writing clear specs, giving agents the right context, and verifying their output through tests and reviews rather than vibes.

  Nice to Have

• Shipped LLM powered features to production

• Built or integrated MCP servers or other agent tooling that gives AI agents extended abilities

• Designed evals and guardrails for AI features, such as test datasets, regression checks, prompt injection, and HITL (human in the loop) review.

• Shipped high quality UI/UX designs into production

• Node.js/TypeScript, Express, and React

• Helm, Terraform, and enterprise CI/CD pipelines

• Observability tools such as Prometheus, Grafana, and OpenTelemetry

• Redis, MongoDB sharding, or ETL pipelines.