• As a junior engineer in our teams, you will have the opportunity to learn, develop and deliver high quality software that is highly visible, delivery innovative projects that directly impact our railroad logistics to effectively serve our customers to move freight on time. • You will be involved in developing and deploying software for our core freight movement operations that spans across platform, product and enterprise engineering. • This is a full-stack engineering role, focused on building and operating large scale distributed systems such as messaging systems, micro-services, data platforms, serverless runtimes, customer experiences and applying AI/ML to develop scalable and highly reliable solutions. • Write production-quality code for well-defined tasks. • Follow team coding standards and processes. • Participate in design reviews to learn best practices. • Write and maintain unit/integration tests. • Debug and fix straightforward issues. • Seek feedback proactively and apply it to improve. • Develop APIs, automation, and tools to improve platform integration. • Build and maintain monitoring and alerting systems for services. • Collaborate with application teams to enhance reliability and performance. • Design and operate scalable systems across data centers, edge devices, and the cloud. • Work with BNSF teams to create products that improve rail network operations. • Innovate in distributed computing and drive industry transformation. • Build solutions for high-speed, large-scale predictions on distributed systems. • Solve broad challenges by coding effective solutions in an agile environment. • Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on-call rotation.

• Own and evolve AWS infrastructure supporting data platform, ML training, and analytics workloads (Iceberg/Trino, ETL pipelines, Kubeflow/MLflow) • Design, deploy, and maintain EKS-based services and Kubernetes workloads • Build and manage Terraform infrastructure across environments (dev/staging/prod) • Design and maintain CI/CD pipelines for infrastructure and application deployment (GitLab/GitHub) • Operate and improve Kafka/Redpanda clusters • Improve reliability, observability, and performance of prediction services • Support Dagster for data workflow orchestration • Collaborate with Data Science, ML Engineering, and Data Engineering to productionize models and data pipelines • Strengthen AWS IAM, networking, and connectivity between cloud and on-prem systems • Support cyber hardening efforts with our RTX cyber team • Identify and incrementally improve existing infrastructure and deployment patterns

• Design the developer console and API docs experience, from account setup and API keys to usage, billing, and rate limits • Prototype and ship playground tools, quickstarts, and code samples that let developers test endpoints and outputs before writing integration code • Turn new models and endpoints into clear, well-documented interfaces as the platform ships, keeping pace with a fast-moving API surface • Collaborate closely with platform engineering to design authentication, webhooks, and other technical flows in terms developers actually understand • Contribute to visual and interaction consistency between the developer platform and the rest of Runway's product • Set the design direction for the developer platform as a whole and mentor other designers working on it

• Build the video processing engine • Design and implement encoding, decoding, and transcoding workflows that handle diverse video formats efficiently • Develop the cross-platform rendering engine • Work on our Skia-based rendering engine that runs across browsers and native runtimes • Push the boundaries of browser-based video • Develop and maintain our WebAssembly infrastructure • Integrate across platforms • Build and maintain our iOS integrations using Swift • Obsess over performance and reliability • Profile and optimize video and rendering workloads • Work with people who care about craft