The company is a London-based leader in software and intellectual property, pioneering innovations in data and media compression using artificial intelligence and parallel computing techniques. The organization has built a significant portfolio (with over a thousand patents) and is actively engaged in advancing compression technologies across several industries. What You’ll Be Doing: Enhance, expand, and maintain sophisticated in-house systems designed to test and evaluate media quality. Help plan new development tasks by breaking down project scopes, outlining requirements, and establishing test criteria. Track progress clearly, maintain documentation, and deliver consistent updates to internal stakeholders. Contribute to the selection of appropriate platforms and utilities for testing environments. Diagnose, analyze, and resolve issues found in testing frameworks. Execute comprehensive test campaigns across various scenarios to benchmark codec implementations. Review code contributions from other engineers within the test development team. Take part in agile meetings and planning sessions, ensuring continuous refinement and effective sprint execution. What We’re Looking For: Expertise in Python, particularly building multithreaded applications with Flask, and experience in integrating with relational databases (SQL). Comfortable developing in Linux-based environments. Familiarity with modern APIs and protocols like REST, HTTP, and JSON, as well as containerization tools such as Docker. Effective communicator, capable of producing technical documentation and sharing regular progress insights. Previous involvement in Agile projects, using tools such as Jira for workflow and issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks—HTML, CSS, JavaScript, TypeScript, Node.js—is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial: Experience using Behavior-Driven Development (BDD) tools such as Cucumber or Spock. Background in cloud environments like AWS or distributed system infrastructure. General understanding of network protocols and architecture. Prior experience with media encoding/decoding and video quality assessment methodologies. Proficiency in data science or analytics. Familiarity with mobile automation frameworks on Android and iOS platforms. Hands-on experience with UI test automation using frameworks like Cypress and JavaScript/TypeScript.