Python Automation Test Engineer Team Lead

Overview

Full Time

Skills

Team Leadership
Mentorship
Management
Test Execution
NumPy
Pandas
Data Analysis
Big Data
TensorFlow
PyTorch
Optimization
Regulatory Compliance
Software Testing
Selenium
Cloud Computing
Databricks
Continuous Integration
Continuous Delivery
GitHub
DevOps
SQL
NoSQL
Database
PostgreSQL
MySQL
MongoDB
Apache Cassandra
Distributed Computing
Apache Spark
Apache Hadoop
Automated Testing
Performance Testing
Test-driven Development
Orchestration
Docker
Kubernetes
Problem Solving
Conflict Resolution
Agile
Communication
Leadership
Stakeholder Management
Generative Artificial Intelligence (AI)
Data Science
Statistics
Mathematical Modeling
Version Control
Git
Workflow
Python
Unit Testing
Machine Learning (ML)
Testing
Reporting
Web Portals
Leadership Development
Soft Skills
Google Cloud Platform
Google Cloud
Microsoft Azure
Amazon Web Services
LinkedIn
English
Collaboration

Job Details

We are seeking a highly skilled Python Automation Test Engineer Team Lead to join our dynamic team. In this role, you will lead a team of five or more automation test engineers, driving the design, development, and optimization of test automation frameworks and infrastructure.

You will be responsible for ensuring high-quality software solutions, implementing best practices, and leveraging cutting-edge technologies to support business objectives. This role requires deep expertise in Python, Azure, GitHub, Databricks, and key data and mathematical libraries.

This position offers remote setup with the flexibility to work from any location in Georgia, whether it's your home, well-equipped offices in Tbilisi and Batumi or a coworking space in Kutaisi.

#LI-DNI#LI-VA2

Responsibilities
  • Lead, mentor, and manage a team of 5+ automation test engineers, fostering a collaborative and high-performance environment
  • Design, build, and maintain scalable and efficient test automation frameworks using Python and Azure services
  • Develop, optimize, and maintain automated testing pipelines and infrastructure
  • Utilize Azure DevOps, Databricks, and CI/CD pipelines to enhance automation workflows
  • Implement best practices for CI/CD using GitHub, ensuring code quality, testing, and deployment automation
  • Work with cross-functional teams, including developers, DevOps engineers, and product managers, to ensure high-quality software releases
  • Optimize performance of test execution and reporting, ensuring reliability, accuracy, and coverage
  • Leverage mathematical and statistical libraries such as NumPy, Pandas, SciPy, and Statsmodels for test data analysis and validation
  • Implement machine learning and big data frameworks such as TensorFlow, PyTorch, Apache Spark, and Hadoop as needed for test optimization
  • Ensure compliance with software testing standards, security, and best practices
  • Troubleshoot complex automation-related issues and provide robust solutions

Requirements
  • 8+ years of experience in test automation, with at least 2+ years in a leadership role
  • Expertise in Python and key automation testing frameworks (PyTest, Selenium, Robot Framework, etc.)
  • Strong experience with Azure cloud services, including Azure DevOps, Databricks, and Azure Functions
  • Proficiency in CI/CD workflows, version control (GitHub), and DevOps practices
  • Experience working with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.)
  • Knowledge of distributed computing frameworks such as Apache Spark or Hadoop
  • Solid understanding of test automation strategies, performance testing, and test-driven development (TDD)
  • Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment
  • Excellent communication, leadership, and stakeholder management skills
  • Proficiency in Generative AI

Nice to have
  • Experience with data science and machine learning model development
  • Knowledge of statistical analysis and mathematical modeling
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows
  • Experience with Python test libraries such as Robot Framework, PyTest, Unittest, DocTest, Nose2, and Testify
  • Knowledge of ML testing tools such as Healenium, TDspora, Report Portal, QED42, and TestingXperts

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 Google Cloud Platform, Azure and AWS
    • Unlimited access to LinkedIn Learning and Get Abstract
    • 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
    • Five trust days per year (sick leave without a medical certificate)
    • Benefits package (sports activities, a variety of stores and services)

EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.