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Tether Operations Limited
About the Role We’re looking for a product engineer who takes ownership of outcomes, not just assigned tasks. You’ll work across 4–5 products with different technology stacks, identify high-value problems, and carry solutions through design, implementation, testing, documentation, delivery, and operation. What You'll Do Understand our apps and the 0G stack well enough to improve the shared platform, not only one feature. Solve root causes and make durable decisions using shared systems instead of introducing band-aids or duplicated solutions. Own features end-to-end across UI, APIs, server logic, infrastructure, and deployment; do not stop at the layer you are most comfortable in. Build and improve AI-agent infrastructure, including LLM streaming, tool orchestration, sandboxed execution, and security boundaries around untrusted code. Understand wallet-based identity, signing, embedded and external wallets, and server-side authorization without conflating wallet connection with application access. Independently manage dependencies, reviews, blockers, and delivery while raising genuine product decisions and risks early. Raise the bar through meaningful tests, sharp PR reviews, and living documentation that stays true to the product. Be open to adopting new technologies, AI tools, and better working practices. Be reliable enough that when you own an area, the rest of the team can confidently focus on building and expanding other products. Treat “done” as delivered, verified, and operating—not merely coded or test-green. Run what you ship with structured logs, traces, metrics, dashboards, alerts, first-line technical support, optimization, and ongoing support for internal teams and external users. Technical background: Strong end-to-end TypeScript and React experience across client, server, API design, and serverless or edge runtimes. Remix, Next.js, Vite, and Cloudflare Workers experience is valuable. Experience building LLM-powered products beyond basic API calls, in…
Publié 19 Aug 2026
Your career oportunity (from 15.09.2026) You combine strong, hands-on software testing skills with a practical understanding of AI-driven product features and modern AI-supported QA workflows? Also you like to ensure reliable releases across web and/or backend systems, while also contributing to quality strategies for AI-enabled functionality? Then this position might be the perfect fit for you! Your Mission You own our test strategy end-to-end —and you continuously improve it across both manual and automated testing as we grow. You design, execute, and maintain test cases that cover new features, regressions, and the “it’ll never happen” edge cases. You build reliable automated tests (E2E and API) and you keep them healthy in CI/CD —stable, meaningful, and easy to maintain. You partner closely with Product and Engineering to clarify requirements early, tighten acceptance criteria, and prevent defects before they ship. You define quality signals and metrics that create real release confidence —not just a gut feeling. You raise the bar for AI-feature quality where relevant, including: - You test robustness across varied inputs (ambiguous prompts, noisy data, unexpected user behavior). - You check safety, privacy, and unintended outputs in line with product requirements. Requirements Your Superpowers Your Superpowers You’ve worked in software testing / QA engineering in cross-functional teams and you know what great collaboration looks like. You’re strong in test design, exploratory testing, and defect investigation —you enjoy finding root causes, not just symptoms. You have solid hands-on experience with test automation (e.g., Playwright, Cypress, Selenium) and API testing (e.g., Postman, Bruno). You’re comfortable with CI/CD and version control (e.g., Git and GitHub/GitLab pipelines) and you treat testing as part of delivery. You understand modern software delivery practices like shift-left QA, code reviews, observability, and documentation—and you apply them pragm…
Publié 18 Aug 2026
Your career oportunity (from 15.09.2026) You combine strong, hands-on software testing skills with a practical understanding of AI-driven product features and modern AI-supported QA workflows? Also you like to ensure reliable releases across web and/or backend systems, while also contributing to quality strategies for AI-enabled functionality? Then this position might be the perfect fit for you! Your Mission You own our test strategy end-to-end —and you continuously improve it across both manual and automated testing as we grow. You design, execute, and maintain test cases that cover new features, regressions, and the “it’ll never happen” edge cases. You build reliable automated tests (E2E and API) and you keep them healthy in CI/CD —stable, meaningful, and easy to maintain. You partner closely with Product and Engineering to clarify requirements early, tighten acceptance criteria, and prevent defects before they ship. You define quality signals and metrics that create real release confidence —not just a gut feeling. You raise the bar for AI-feature quality where relevant, including: - You test robustness across varied inputs (ambiguous prompts, noisy data, unexpected user behavior). - You check safety, privacy, and unintended outputs in line with product requirements. Requirements Your Superpowers Your Superpowers You’ve worked in software testing / QA engineering in cross-functional teams and you know what great collaboration looks like. You’re strong in test design, exploratory testing, and defect investigation —you enjoy finding root causes, not just symptoms. You have solid hands-on experience with test automation (e.g., Playwright, Cypress, Selenium) and API testing (e.g., Postman, Bruno). You’re comfortable with CI/CD and version control (e.g., Git and GitHub/GitLab pipelines) and you treat testing as part of delivery. You understand modern software delivery practices like shift-left QA, code reviews, observability, and documentation—and you apply them pragm…
Publié 18 Aug 2026