{"id":470284,"url":"https://alion.io/job/avenga-senior-automation-quality-engineer-python","title":"Senior Automation Quality Engineer (Python)","company":{"id":181252,"name":"Avenga","domain":"avenga.com","url":"https://alion.io/company/avenga","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":78,"open_postings":28,"ghost_share":0,"stale_share":0.893,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-17T05:46:00Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ohrid, North Macedonia","Skopje, North Macedonia","Bitola, North Macedonia","Belgrade, Serbia","Kragujevac, Serbia","Niš, Serbia","Novi Sad, Serbia"],"countries":["MK","RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":88000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1081},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Playwright","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Self-Healing","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-18T06:25:48Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-18T00:00:48Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.\n\nCore skills you’ll bring\n6+ years of hands-on test automation experience, with strong working knowledge of Python\n\nExperience with Playwright for UI automation\n\nExperience with PyTest or a similar framework for API test automation\n\nFamiliarity with BDD/Gherkin (Behave or similar) - able to read, critique, and extend feature files\n\nWorking SQL skills and comfort validating data directly against a database\n\nSolid Git/GitHub experience, including pull-request-based review workflows\n\nAI & Agentic skills:\nHands-on experience with AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) in a real development or test-automation workflow - not just occasional chat-interface use\n\nPractical understanding of agentic AI systems: multiple AI agents with defined roles collaborating on a task (e.g., one agent drafting, another reviewing), and how orchestration/handoffs between them work\n\nWorking knowledge of prompt engineering - able to write and refine prompts/instructions that reliably shape an AI agent's output, not just ask ad hoc questions\n\nUnderstanding of core LLM concepts relevant to daily work: context windows, hallucination, retrieval-augmented generation (RAG), and why these create the need for human review\n\nExposure to agent frameworks or tooling is a strong plus - e.g., LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), or Copilot/Claude agent extensions\n\nThe impact you'll create\nReview AI-generated test scenarios for coverage, correctness, and missing edge cases before implementation begins\n\nReview AI-generated automation code for quality and correctness before it is merged, acting as the final human checkpoint\n\nWrite and refine the instructions, prompts, and context files that shape how AI agents behave for a given application or task\n\nBuild and maintain Python-based automation frameworks - page objects/clients, step definitions, fixtures, and test data\n\nDesign and maintain UI, API, and database test coverage using Playwright, PyTest, and SQL-based validation\n\nTriage self-healing suggestions on flaky or broken tests - approve, reject, or fix them directly\n\nHelp onboard new applications into the automation framework, mapping existing tests and domain conventions\n\nTrack coverage, regression health, and quality metrics, and report on them to the delivery team\n\nPeople are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. 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