{"schemaVersion":"jobsearcher.job.v1","id":"fcd6eda92670015bedcb07ee","url":"https://jobsearcher.com/jobs/fcd6eda92670015bedcb07ee","canonicalUrl":"https://jobsearcher.com/jobs/fcd6eda92670015bedcb07ee","title":"Deployment & Solutions Engineer","description":"Witbe Witbe (Euronext Growth — ALWIT) provides AI-powered test automation and real-time monitoring solutions for the world's leading video service providers. Our Witbox robots replicate real user behavior on real devices to test, monitor, and analyze video app quality — with actionable insights from Witbe's observability platform.\n\nWitbe Agentic AI, the industry's first agent-native test automation system for video QA. 25 years in operation. The broadcast network delivering live sports to over 100 million viewers. We don't build their apps. We make sure their apps work — on every device, in every market, for every viewer. Our AI-powered robots sit inside their infrastructure, testing video services the way a real user would: launching apps, navigating menus, playing content, catching failures that no one else sees.\nYou're not a backend developer working on code that ships in six months. You're an engineer who deploys AI-powered test automation at major broadcast and telecom companies, and you deliver results in weeks, not quarters.\nYou start with a configured platform producing real data, and you train the customer to use it effectively.\nThis is a technical, customer-facing, delivery-driven role.\n\nPython is your primary tool. You'll use Witbe's SDK to script test automation scenarios, with AI coding assistants accelerating the work. You need to understand what the AI produces — classes, methods, logic — because you're responsible for production-quality output.\nDeploy and configure test environments — scenarios, dashboards, alarms, thresholds — on real devices (set-top boxes, Smart TVs, streaming sticks, phones), tailored to each customer's video services.\nA scenario passes in our lab and fails at the customer. A device drops off the network overnight. Nobody documented the environment. Analyze test results and turn raw data into insights : what's failing, why, how often, and what it means for the customer's video quality. Train customer teams to operate the platform independently. The goal is building confident users, not long-term dependency.\nTravel to customer sites across the US and occasionally beyond (~20%) for deployments, training, and relationship building.\n\nYou can read, write, and debug Python. Witbe is 100 people with a flat structure — no management layers, no governance committees. AI-literate. You'll use Claude Code and AI assistants daily to write production automation. You understand both the power and the limitations of AI-assisted development, and you know when to trust the output and when to rewrite it.\nCustomer-facing. You explain complex results clearly and enjoy helping people get better at what they do.\nYou'll learn how video streaming works end-to-end, how QoE differs from QoS, and how AI agents are transforming test automation. Bachelor's or Master's in Computer Science, Software Engineering, IT, or related field.\nWorking proficiency in Python — scripting, debugging, and reading code confidently.\nStrong English communication skills, written and spoken.\nWillingness to travel ~20%.\n\nExperience in a customer-facing technical role (solutions engineering, consulting, implementation, technical support).\nFamiliarity with data analytics and dashboards (Tableau, Power BI, or similar).\nExposure to AI coding tools (Claude Code, GitHub Copilot, Codex) and understanding of their strengths and limits.\nKnowledge of network protocols (TCP/IP, streaming tech like HLS/DASH).\nHealth insurance: Aetna medical coverage, 100% company-paid.\nRetirement: 401(k) plan available.\nMost technical roles at this stage are either pure development with no customer contact, or customer-facing positions with no real technical depth. You'll build hands-on experience with AI-assisted Python automation — a skill set the market is only beginning to value. The customer portfolio gives you exposure to the broadcast and telecom industry at the highest level.\nNot a corporation where your work disappears into a backlog — a technology company where what you do matters.","company":"Witbe","rawCompany":"witbe","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-20T03:31:51.549Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Deployment & Solutions Engineer","description":"Witbe Witbe (Euronext Growth — ALWIT) provides AI-powered test automation and real-time monitoring solutions for the world's leading video service providers. Our Witbox robots replicate real user behavior on real devices to test, monitor, and analyze video app quality — with actionable insights from Witbe's observability platform.\n\nWitbe Agentic AI, the industry's first agent-native test automation system for video QA. 25 years in operation. The broadcast network delivering live sports to over 100 million viewers. We don't build their apps. We make sure their apps work — on every device, in every market, for every viewer. Our AI-powered robots sit inside their infrastructure, testing video services the way a real user would: launching apps, navigating menus, playing content, catching failures that no one else sees.\nYou're not a backend developer working on code that ships in six months. You're an engineer who deploys AI-powered test automation at major broadcast and telecom companies, and you deliver results in weeks, not quarters.\nYou start with a configured platform producing real data, and you train the customer to use it effectively.\nThis is a technical, customer-facing, delivery-driven role.\n\nPython is your primary tool. You'll use Witbe's SDK to script test automation scenarios, with AI coding assistants accelerating the work. You need to understand what the AI produces — classes, methods, logic — because you're responsible for production-quality output.\nDeploy and configure test environments — scenarios, dashboards, alarms, thresholds — on real devices (set-top boxes, Smart TVs, streaming sticks, phones), tailored to each customer's video services.\nA scenario passes in our lab and fails at the customer. A device drops off the network overnight. Nobody documented the environment. Analyze test results and turn raw data into insights : what's failing, why, how often, and what it means for the customer's video quality. Train customer teams to operate the platform independently. The goal is building confident users, not long-term dependency.\nTravel to customer sites across the US and occasionally beyond (~20%) for deployments, training, and relationship building.\n\nYou can read, write, and debug Python. Witbe is 100 people with a flat structure — no management layers, no governance committees. AI-literate. You'll use Claude Code and AI assistants daily to write production automation. You understand both the power and the limitations of AI-assisted development, and you know when to trust the output and when to rewrite it.\nCustomer-facing. You explain complex results clearly and enjoy helping people get better at what they do.\nYou'll learn how video streaming works end-to-end, how QoE differs from QoS, and how AI agents are transforming test automation. Bachelor's or Master's in Computer Science, Software Engineering, IT, or related field.\nWorking proficiency in Python — scripting, debugging, and reading code confidently.\nStrong English communication skills, written and spoken.\nWillingness to travel ~20%.\n\nExperience in a customer-facing technical role (solutions engineering, consulting, implementation, technical support).\nFamiliarity with data analytics and dashboards (Tableau, Power BI, or similar).\nExposure to AI coding tools (Claude Code, GitHub Copilot, Codex) and understanding of their strengths and limits.\nKnowledge of network protocols (TCP/IP, streaming tech like HLS/DASH).\nHealth insurance: Aetna medical coverage, 100% company-paid.\nRetirement: 401(k) plan available.\nMost technical roles at this stage are either pure development with no customer contact, or customer-facing positions with no real technical depth. You'll build hands-on experience with AI-assisted Python automation — a skill set the market is only beginning to value. The customer portfolio gives you exposure to the broadcast and telecom industry at the highest level.\nNot a corporation where your work disappears into a backlog — a technology company where what you do matters.","datePosted":"2026-10-20T03:31:51.549Z","dateModified":"2026-10-20T03:31:51.549Z","hiringOrganization":{"@type":"Organization","name":"Witbe","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fcd6eda92670015bedcb07ee"},"url":"https://jobsearcher.com/jobs/fcd6eda92670015bedcb07ee"}}