Live opening · Posted 1 day ago

Lead Python Test Automation Engineer

EPAM Systems · Armenia (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyEPAM Systems
LocationArmenia (Remote)
Work modeYes
SkillsPython, AWS, Azure, GCP, PostgreSQL, MySQL
SourceLinkedin
ListedPosted 1 day ago

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About the role

Description supplied by the original job listing.

We are looking for a Lead QA Automation Engineer with strong Python expertise and hands-on experience with AI-assisted engineering practices to join our engineering team. In this role, you will combine advanced test automation skills with a modern approach to AI-assisted software quality engineering, taking ownership of QA initiatives and driving improvements across the testing lifecycle.
You will work with LLMs and AI-assisted workflows to decompose complex QA tasks, create and manage engineering artifacts, improve test design and automation efficiency, and critically evaluate AI-generated output. At the same time, you will apply strong engineering judgment to build reliable automation solutions and continuously improve QA practices.
This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.
Responsibilities
Design, develop, and maintain automated tests for user-facing and back-office applications using Python and Pytest
Develop and maintain UI and REST API automation, expanding automated coverage across different layers of the application
Apply AI-assisted engineering practices to test analysis, scenario design, automation development, documentation, and other QA activities
Decompose complex QA and engineering tasks into clear, structured steps suitable for AI-assisted workflows
Create, use, and manage relevant artifacts as part of AI-assisted development and testing processes
Analyze requirements, identify gaps and ambiguities, and translate them into clear, testable scenarios
Apply Specification-Driven Development (SDD) principles and recognize common AI-assisted engineering anti-patterns
Critically evaluate AI-generated output and validate its correctness, quality, and applicability
Work with databases, perform SQL queries, and validate data programmatically
Contribute to non-functional testing and broader QA automation initiatives
Review and improve existing QA frameworks, processes, and automation practices
Collaborate closely with developers, engineers, and stakeholders to introduce effective and sustainable QA approaches
Take ownership of QA initiatives, proactively identify improvement opportunities, and drive them through implementation
Requirements
Strong commercial experience with Python and test automation
Solid hands-on experience with Pytest, Pydantic, and Requests
Strong experience with UI automation, including Page Object Model, CSS selectors, and XPath
Experience with REST API testing and Allure
Practical understanding of modern LLMs, including their capabilities, limitations, and guardrails
Experience applying AI tools in software engineering or QA workflows
Understanding of how to structure and decompose tasks for effective AI-assisted execution
Ability to critically assess AI-generated code, test scenarios, documentation, and other artifacts
Understanding of Specification-Driven Development (SDD) and common AI-assisted engineering anti-patterns
Basic knowledge of SQL and relational databases
Strong analytical and problem-solving skills, with the ability to work effectively with incomplete or evolving requirements
Strong communication and stakeholder management skills, with the ability to drive improvements constructively and handle different perspectives
High level of ownership, initiative, and ability to work independently
Nice to have
Experience with Faker, Locust, Allure TestOps, MySQL, or PostgreSQL
Experience introducing or improving QA practices and automation frameworks within an established engineering environment
Experience with performance or load testing
Experience applying AI-assisted approaches to software quality engineering
We offer
We connect like-minded people
Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events
We invest in your growth
Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to EPAM's internal learning database
Free English classes with certified teachers
We cover it all
Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Comprehensive medical & family care package
Four trust days per year for personal needs
Discounts for fitness clubs
Benefits package (hotels, restaurants, stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Work arrangement
Yes

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