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This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
As an RPA Developer, you will develop and maintain software solutions that automate business processes and lead initiatives related to the design and management of workflow automation projects.
Responsibilities:
Design, develop, and test automation workflows with various systems
Deploy RPA components, including bots, robots, developmental tools, code repositories, and logging tools.
Collaborate with cross-functional teams to define and deliver projects that meet business needs.
Work with stakeholders to capture business requirements and translate them into technical designs and strategies.
Troubleshoot production issues.
Support the launch and implementation of RPA solutions.
Create, maintain, and support existing robots.
Design and develop user interfaces for RPA interaction.
Develop and maintain RPA framework libraries.
Produce test documentation and carry out testing of automated solutions.
Create process and end-user documentation.
Assist with quality assurance of the automation.
Drive the adoption of best practices around coding, design, quality, and performance.

We are looking for an Experienced QA Automation Team Lead with a strong background in designing, developing, and maintaining scalable test automation infrastructures.

Skilled in Python-based test development, modern automation frameworks, API testing, and Playwright for UI automation. Demonstrated ability to lead technical initiatives, guide automation strategy, and integrate innovative testing approaches - including leveraging AI models for intelligent validation, test optimization, and automation tooling. Adept at collaborating across engineering, product, and DevOps teams to improve quality, accelerate releases, and ensure robust system reliability.

Key Responsibilities
Automation Architecture & Infrastructure

Design, develop, and maintain a scalable automation framework using Python, aligned with product architecture and CI/CD pipelines.
Lead the creation of reusable libraries, tools, and test utilities to improve automation efficiency.
Evaluate and integrate new technologies, including AI-assisted test generation, model-based testing, and intelligent failure analysis.
Establish best practices for code structure, version control, and test maintainability.
Test Development & Execution

Build and maintain automated test suites for UI, API, backend, and integration layers.
Implement end-to-end UI automation using Playwright, focusing on reliability and parallel execution.
Develop robust API tests using Python-based tools (e.g., pytest, requests, FastAPI test helpers).
Ensure broad test coverage across functional, regression, performance, and security areas.
Quality Leadership & Strategy

Define the overall automation strategy and ensure its alignment with organizational quality goals.
Lead and mentor QA engineers, providing guidance in Python development, test design, and automation best practices.
Collaborate with product, development, and DevOps teams to refine acceptance criteria and testing standards.
Drive shift-left testing practices and promote automation as a core part of the development lifecycle.
CI/CD & DevOps Collaboration

Integrate automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Work closely with DevOps to enable test environments, containerized executions, and scalable cloud-based test farms.
Introduce quality gates and automated blockers to reduce defect leakage and speed up delivery.
AI-enhanced Testing & Innovation

Utilize AI models to enhance test creation, anomaly detection, log analysis, and flakiness reduction.
Develop internal tools using AI for automated test maintenance and failure triage.
Experiment with LLM-driven testing strategies (e.g., agentic testing flows, AI-driven mock generation).