Full Stack Engineer

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

We are looking for a Full Stack Engineer to join our Taipei engineering team. In this role, you will contribute to designing, building, and maintaining scalable web applications and services that power Samba's data and advertising products. You will work across the stack — from crafting responsive, performant front-end interfaces to building robust back-end APIs and services — collaborating closely with product managers, designers, and fellow engineers. This is a great opportunity for a mid-level engineer who wants to deepen their full stack expertise in a data-driven, product-focused environment, while working on systems that reach audiences at global scale

Build & Ship Web UIs: Develop and ship web-based user interfaces with React that run on Android TV and embedded Linux devices, designed for the living-room experience and remote-control navigation. Develop Backend Services: Build and integrate Node.js services and APIs that power those interfaces and connect them to Samba TV's data platform. Optimize for Constrained Devices: Tune front-end and service performance for the realities of TV hardware — limited memory and CPU, older webview and browser engines, and D-pad navigation rather than touch or mouse. Debug Across the Stack: Investigate and resolve defects, performance bottlenecks, and integration issues that span the web layer and the device it runs on. You'll become proficient with debugging tools and log analysis. Collaborate Across Teams: Work closely with the TV Platform and AI teams whose libraries and platforms your UI builds on, alongside design and product partners, to deliver cohesive features. Explore Intelligent Features: Contribute to the evolution of our platform by helping prototype and integrate new AI-powered features into the viewer experience as the product grows.

Bias for Action: You're a builder at heart. You are hands-on, proactive, and thrive on turning ideas into running code. Analytical Problem-Solver: You have a curious and analytical mindset. You use logic and data to dissect complex problems and are driven to find the root cause. Core Programming Skills: Proficiency in ECMAScript (JavaScript) is essential. You should be comfortable with the Node.js ecosystem and writing JavaScript that works reliably across browsers, and have solid experience with the React.js library and its surrounding ecosystem. TypeScript is a plus but not required. Web Fundamentals: A strong grasp of building responsive, performant web applications — component architecture, state management, and the browser rendering and networking model. SecDevOps Fundamentals: Familiarity with relational databases (PostgreSQL, MySQL) and writing optimized SQL queries. Experience working with cloud infrastructure — AWS, GCP, or Azure — and deploying applications in cloud environments. Proficiency with version control using Git, and familiarity with CI/CD pipelines. Collaborative Spirit: You have excellent communication skills and a collaborative spirit. You can articulate technical concepts clearly and are open to feedback. Education/Experience: A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. 3–5 years of professional experience in full stack or web application development. Nice-to-Have Familiarity with GraphQL or gRPC alongside REST. Exposure to data streaming technologies (Kafka, Spark, or similar). Experience in AdTech, MediaTech, or data-heavy product environments. Knowledge of scripting languages like Python/Go or shell scripting for automation and testing. Familiarity with CI/CD tools such as Bitbucket Pipelines, ArgoCD, or similar. Familiarity with methodologies like DevSecOps, GitOps, or AIOps. Experience with containerization tools such as Docker and Kubernetes with an emphasis on minimal size and least-privilege principles. Cybersecurity awareness, including how to prevent vulnerabilities such as supply-chain attacks.

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