Senior Python Test Automation Engineer

EPAM Systems; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

EPAM Systems Inc. is seeking a QA Automation Engineer to design, develop, and maintain automated tests for UI and API layers in a cryptocurrency-focused project.

You will analyze requirements, identify gaps, and extend coverage across functional and non-functional areas, while improving QA processes and working with AI-assisted development tools. You will collaborate with client and engineering teams, use SQL for database connections, and apply AI methodologies to test design and documentation.

Qualifications

• Strong hands-on experience with Python, Pytest, Pydantic, and Requests
• Solid experience with UI automation, including Page Object Model, CSS selectors, and XPath
• Experience with REST API testing
• Experience with Allure
• Basic knowledge of SQL and relational databases
• Practical experience with LLMs and AI-assisted development tools
• Understanding of LLM capabilities, limitations, guardrails, and common AI anti-patterns
• Ability to break down complex tasks into structured steps for AI-assisted workflows
• Familiarity with Specification-Driven Development (SDD)
• Strong analytical and problem-solving skills
• Ability to work with changing or incomplete requirements
• Strong communication skills and confidence working with technical and business stakeholders
• High level of ownership and ability to work independently
• Nice to have: Faker, Locust, Allure TestOps, MySQL, or PostgreSQL
• Experience with performance or non-functional testing
• Experience improving QA practices or automation frameworks within an established development environment
• Background in fintech, cryptocurrency, financial services, or other high-availability domains

Responsibilities

• Design, develop, and maintain automated tests for UI and API layers
• Analyze requirements, identify gaps and ambiguities, and translate them into testable scenarios
• Extend test coverage across functional and non-functional areas
• Improve existing automation frameworks, test strategies, and QA processes
• Collaborate with client and engineering teams to establish effective QA practices
• Work with relational databases using SQL and programmatic database connections
• Investigate defects and contribute to root-cause analysis
• Proactively identify and implement opportunities to improve product quality and delivery processes
• Apply AI-assisted approaches to test design, analysis, documentation, and other engineering activities

Skills

Python

Pytest

Pydantic

Requests

UI automation

Page Object Model

CSS selectors

XPath

REST API testing

Allure

SQL

LLMs

AI-assisted development

AI testing

Tools

Allure

Locust

Allure TestOps

MySQL

PostgreSQL

Job description

Join an EPAM project in the cryptocurrency domain as a QA Automation Engineer and contribute to building a reliable, scalable quality engineering approach. The role combines Python-based test automation with AI-assisted engineering. You’ll work with user-facing and back-office applications, analyze evolving requirements, design effective test scenarios, and help expand automated coverage across UI, API, and non-functional testing. We are looking for an engineer who combines strong automation expertise with an analytical mindset and is comfortable using modern LLM-based tools and AI-assisted development practices to solve testing and engineering challenges.

Responsibilities

• Design, develop, and maintain automated tests for UI and API layers
• Analyze requirements, identify gaps and ambiguities, and translate them into testable scenarios
• Extend test coverage across functional and non-functional areas
• Improve existing automation frameworks, test strategies, and QA processes
• Collaborate with client and engineering teams to establish effective QA practices
• Work with relational databases using SQL and programmatic database connections
• Investigate defects and contribute to root-cause analysis
• Proactively identify and implement opportunities to improve product quality and delivery processes
• Apply AI-assisted approaches to test design, analysis, documentation, and other engineering activities

Requirements

• Strong hands-on experience with Python, Pytest, Pydantic, and Requests
• Solid experience with UI automation, including Page Object Model, CSS selectors, and XPath
• Experience with REST API testing
• Experience with Allure
• Basic knowledge of SQL and relational databases
• Practical experience with LLMs and AI-assisted development tools
• Understanding of LLM capabilities, limitations, guardrails, and common AI anti-patterns
• Ability to break down complex tasks into structured steps for AI-assisted workflows
• Familiarity with Specification-Driven Development (SDD)
• Strong analytical and problem-solving skills
• Ability to work effectively with changing or incomplete requirements
• Strong communication skills and confidence working with technical and business stakeholders
• High level of ownership and ability to work independently
• Nice to have: Experience with Faker, Locust, Allure TestOps, MySQL, or PostgreSQL
• Experience with performance or non-functional testing
• Experience improving QA practices or automation frameworks within an established development environment
• Background in fintech, cryptocurrency, financial services, or other high-availability domains