SDET

🔥 1 minute ago

🇬🇷 Greece – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

⚙️ Software Development Engineer in Test (SDET)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Automation Anywhere

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Automation Anywhere is a leader in agentic process automation, providing solutions that streamline complex workflows across various industries. They offer a platform that integrates artificial intelligence and automation, allowing businesses to automate any process and improve efficiency. With features like AI agent creation, document automation, and centralized management, Automation Anywhere empowers businesses to reduce costs, improve productivity, and achieve higher accuracy in their operations.

📋 Description

• Champion an AI-first testing culture by integrating AI/ML-powered tools into test design, execution, maintenance, and defect analysis • Use AI-assisted tools to accelerate test authoring, improve coverage, and reduce test-script maintenance effort • Generate, validate, refine, and own test cases derived from requirements, user stories, and acceptance criteria using LLMs and AI assistants • Apply AI-driven visual testing and self-healing automation to reduce flakiness and maintain resilient test suites • Analyze logs and anomalies to identify patterns preceding production or staging failures • Analyze customer-reported defects and implement AI-powered automation strategies to prevent recurrence • Provide customer-perspective feedback on the product and documentation as the team's quality champion • Collaborate with product managers, developers, UX/UI designers, and SDETs to identify test scenarios and ensure coverage • Define risk-based test coverage for backend and engineering stories • Perform functionality, integration, end-to-end, performance, and regression testing across release phases • Set up, maintain, and evolve AI-enabled test automation frameworks across Web, Desktop, and Mobile • Write and maintain front-end and back-end automation code, including testing non-deterministic Agentic AI responses • Build automation for customer use cases and reported defects • Contribute to API/integration testing, UI automation, TDD, ATDD, and code quality tooling • Diagnose and resolve CI/CD pipeline issues using AI-based observability tools • Perform database querying and log analysis for root-cause investigation • Share knowledge through workshops and learning sessions on AI tools, testing innovation, and SDET development • Evaluate and introduce AI-powered testing tools and methodologies and advocate for team adoption • Improve team processes, tooling, and product quality through intelligent automation • Maintain documentation of test strategies, automation processes, and AI tooling decisions

🎯 Requirements

• Bachelor's degree in computer science, Computer Engineering, or related field • 2–5 years of experience in SDET or quality engineering roles, with demonstrated exposure to AI-assisted testing or tooling • Strong understanding of the SDLC, STLC, and modern software testing methodologies • Proficiency in Java, Python, and/or JavaScript/TypeScript, with the ability to write, review, and debug automation code at scale • Hands-on experience with Playwright or Selenium for UI and API testing • Experience using LLMs or AI assistants (such as ChatGPT, Claude, or Copilot) to accelerate test authoring, code review, or defect analysis • Working knowledge of TDD, BDD, and ATDD, and integrating them into CI/CD pipelines • Experience with CI/CD pipelines, including triaging, stabilizing, and improving build and deployment workflows • Working knowledge of database querying and log/anomaly analysis, including AI-assisted observability platforms • Ability to critically evaluate AI-generated test output by validating, refining, and taking ownership of it • Ability to debug complex issues in both handwritten and AI-generated automation code • Clear written and verbal communication with technical and non-technical stakeholders, including transparent documentation of AI tool decisions, and the judgment to ask for help when needed