Senior Python Test Automation Engineer

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.
Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.
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
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 own 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
Discounts in local language schools, including online courses for the Kazakh language
We cover it all:
Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Medical & family care package
Six trust days per year (sick leave without a medical certificate)
Coverage of psychology sessions of your choice
Benefits package (sports activities, a variety of stores and services)
Housing support program: preferential mortgage access via Otbasy Bank partnership
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