About Us
Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.
Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.
Job Summary:
We are looking for a hands-on QA Lead – Automation with strong expertise in Python, Selenium WebDriver, automation framework development, API testing, and CI/CD integration. The ideal candidate should have experience testing cloud-based applications across platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).
The candidate will lead automation initiatives, build scalable testing frameworks, mentor QA engineers, and collaborate with Engineering, Product, and DevOps teams to ensure product quality, reliability, and faster releases.
Key Responsibilities:
Test Automation & Framework Development
- Design, develop, and maintain scalable automation frameworks using Python and Selenium WebDriver.
- Develop automated functional, regression, smoke, and end-to-end test suites using Pytest and/or behave.
- Apply OOP concepts, Page Object Model (POM), reusable components, and automation best practices.
- Debug flaky tests, conduct code reviews, and improve automation coverage and execution efficiency.
Functional, API & Integration Testing
- Define and execute functional, integration, regression, and exploratory testing strategies.
- Perform API testing using Postman, Python Requests, or equivalent tools.
- Validate REST APIs, HTTP protocols, authentication, JSON/XML payloads, and error handling.
- Perform root cause analysis and collaborate with developers to resolve defects.
Multi-Cloud Testing
- Test applications deployed across AWS, Azure, and GCP environments.
- Validate application functionality, integrations, configurations, and environment-specific behaviour.
- Collaborate with DevOps and cloud teams to troubleshoot deployment and infrastructure-related issues.
- Work with Docker, Kubernetes, and cloud-based test environments where applicable.
- Support automated testing across cloud-hosted applications and distributed systems.
CI/CD & Quality Engineering
- Integrate automated test suites into CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or equivalent tools.
- Support continuous testing, release signoffs, and post-deployment validations.
- Track quality metrics, automation coverage, defect leakage, and release readiness.
- Use Git and version control workflows to manage automation code.
QA Leadership & Collaboration
- Lead, mentor, and guide QA engineers across manual and automation testing.
- Provide technical direction on automation frameworks, test strategies, and coding standards.
- Collaborate with Product, Engineering, and DevOps teams throughout the software development lifecycle.
- Take end-to-end ownership of product quality and communicate testing progress and release risks.
Required Skills & Qualifications
- 6+ years of experience in software QA and test automation.
- Strong proficiency in Python, OOP concepts, debugging, and clean coding practices.
- Extensive hands-on experience with Selenium WebDriver and automation framework development.
- Experience with PyTest and/or behave.
- Strong understanding of POM, functional testing, regression testing, and API testing.
- Experience with Postman, Python Requests, REST APIs, JSON, and HTTP/HTTPS.
- Hands-on experience with CI/CD pipelines, Git, Jira, and Agile/Scrum methodologies.
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Experience mentoring QA engineers or leading QA activities.
Preferred Qualifications
- Experience working across two or more cloud platforms: AWS, Azure, and GCP.
- Hands-on exposure to Docker, Kubernetes, and cloud-native applications.
- Experience with SQL and database validation.
- Familiarity with performance testing tools such as JMeter or Gatling.
- Exposure to Cypress or Playwright and cloud monitoring tools.
- Experience working in a product-based or fast-paced engineering environment.
- ISTQB or other relevant QA certifications are a plus.
Ideal Candidate Profile
- A technically strong, hands-on QA Automation Lead with expertise in Python, Selenium, automation framework development, API testing, CI/CD, and multi-cloud environments. The candidate should be capable of leading a QA team while actively contributing to automation development, troubleshooting, and end-to-end product quality.