• Design, develop, and maintain automation solutions leveraging AI, AI Agents, and Infrastructure as Code (IaC). • Automate infrastructure provisioning, configuration management, deployments, monitoring, and operational processes. • Develop scripts and applications using technologies such as Python, PowerShell, JavaScript, Golang, Bash, YAML, and JSON. • Build and manage automation solutions using Terraform, Ansible, Azure DevOps, OpenShift, and related platforms. • Design and implement AI-powered solutions using Microsoft Copilot Studio, AI Agent Builder, and Azure AI Foundry. • Collaborate with Infrastructure, Security, Networking, and Application teams to identify and implement automation opportunities. • Ensure compliance with security, governance, and operational best practices. • Provide technical leadership, mentorship, and guidance on automation and DevOps initiatives.

Role Description We are looking for a motivated QA Automation Engineer to join our team and help ensure high-quality software delivery. In this role, you will learn how to build automated tests using Python, contribute to scalable testing practices, and explore how AI can improve test coverage and efficiency. You’ll work alongside experienced engineers and QA professionals, gaining hands-on experience in modern testing tools, automation frameworks, and AI-driven quality strategies. Location: Hyderabad, AP Key Responsibilities - Test Automation: - Develop and maintain automated tests using Python under guidance from senior team members - Contribute to test cases for APIs, AI providers, backend services, and end-to-end scenarios - Help integrate automated tests into CI/CD pipelines - Assist in maintaining and improving existing test frameworks - Quality Assurance: - Execute manual and automated test cases to validate new features and bug fixes - Identify, document, and track bugs clearly and effectively - Participate in code reviews and testing discussions - Learn and apply best practices in software quality and testing - AI-Assisted Testing: - Support initiatives to expand test coverage using AI tools - Help experiment with AI-based test generation and analysis tools - Learn how AI can be used to identify gaps in test coverage and improve efficiency - Collaboration & Learning: - Work closely with developers, product managers, and QA team members - Actively learn new tools, technologies, and testing methodologies - Ask questions, seek feedback, and continuously improve your skills Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) - Basic knowledge of Python programming - Understanding of software testing concepts (manual or automated) - Familiarity with version control (Git) - Strong willingness to learn and grow in QA automation Requirements - Exposure to testing tools like PyTest, Selenium, or Playwright - Basic understanding of APIs (REST) and how to test them - Knowledge of locators and selectors, especially XPath and CSS - Basic Linux experience - Familiarity with CI/CD concepts - Interest in AI/ML or curiosity about how AI can be applied to testing - ISTQB certification Benefits - Competitive compensation - Comprehensive benefits - Career success on your terms - Flexible work environment - Annual wellness and community outreach days - Always on recognition for your contributions - Global collaboration and networking opportunities

• Develop and maintain automated tests to help ensure high test coverage and fast feedback on defects • Continuously maintain and improve our test frameworks • Help define the test architecture across all test frameworks and tooling • Manage test strategy, product testing, and planning within your sprint team • Create testing-related documentation including test plans and test cases • Find and report bugs and track these to resolution in a timely manner • Collaborate with the Product team to provide valuable insight and input to help create impactful features • Provide clear test results to Development and Product teams to help manage project expectations/progress • Create and maintain security and performance tests • Develop deep expertise in the SmithRx products • Utilize AI tools like Playwright MCP, Claude, and Copilot to realize efficiencies in your daily work • Maintain and refine quality metrics to help track and communicate overall product health

• You will own the automation and AI-enablement charter for DWX. • Identifying the highest-leverage opportunities. • You'll embed with our Solutions and Ops Engineers, observe the work, mine the ticket data, and find the patterns. • Building the automation. You'll engineer end-to-end automated workflows using modern IaC (Terraform, Bicep), CI/CD (Azure DevOps, GitHub Actions), configuration-as-code patterns, and orchestration platforms (Logic Apps, Power Automate, ServiceNow flows, custom services). • Enabling AI across the team, safely. • Driving reliability as a discipline. You'll bring SRE practice to DWX: meaningful SLIs and SLOs for the services that matter, observability that surfaces problems before users feel them, post-incident learning that produces durable fixes, and chaos/resilience thinking applied to the digital workplace. • Partnering broadly. You'll work alongside Solutions Engineers, Operations Engineers, the Microsoft Engineer, Cybersecurity, Networks, Architecture, Product Management, and Business Technology.