Role Description We’re looking for a QA Automation Engineer to join Source Meridian. Qualifications - 4+ years of experience in QA Automation - Playwright + Python - PytestBDD - Gitflow - AWS (CloudWatch, S3, Secrets Manager) - API testing with Postman or Swagger - PostgreSQL - English level: B2 or higher Requirements - Prompt Engineering with Copilot (Nice to Have) - BrowserStack (Nice to Have) - Mobile test (Nice to Have) - Performance test (Nice to Have) Benefits - Permanent contract - Learning and continuous growth environment - Benefits package focused on health and well-being - Competitive salary based on experience Company Description Source Meridian is a development software company that works to solve the industry’s most challenging problems in healthcare practices. We are laser focused on specific technologies in the healthcare and life science industries: Healthcare technology, artificial intelligence, and healthcare interoperability.

Detailed Description: - Design, develop, and maintain automated test frameworks for embedded systems, backend services, and operator interfaces (desktop, web, or mobile). - Implement automated regression, integration, and system-level tests for real-time and hardware-integrated software. - Collaborate with developers and hardware engineers to define test strategies for timing-sensitive and safety-critical functionality. - Develop test harnesses and simulation environments to validate software behavior without requiring physical hardware where possible. - Utilize AI development tools to assist in generating test cases, building test scripts, analyzing logs, and identifying defect patterns. - Evaluate AI-generated test artifacts to ensure meaningful coverage, correctness, and reproducibility. - Perform root cause analysis on defects spanning software, hardware interaction, and deployment environments. - Participate in requirements reviews and design discussions to identify quality risks early in the development lifecycle. - Support CI/CD integration by ensuring automated tests are incorporated into build and release pipelines. - Track, document, and communicate defects clearly, including reproduction steps and impact assessment. - Contribute to continuous improvement of quality standards, automation coverage, and testing methodologies. - Support field validation efforts and assist in troubleshooting production issues as required. - Perform other related duties and special projects, as assigned. Job Requirements: - Demonstrated experience designing and maintaining automated test frameworks. - Strong understanding of software testing methodologies including unit, integration, system, regression, and performance testing. - Experience with scripting or programming languages used for test automation (e.g., C#, Python, or similar). - Working knowledge of CI/CD pipelines and integration of automated testing into build systems. - Ability to analyze logs, telemetry, and system behavior to diagnose defects. - Strong verbal and written communication skills, including clear defect documentation and cross-functional collaboration. - Ability to work effectively in a cross-functional, matrixed organization including software, hardware, controls, and operations teams. - Ability to manage multiple initiatives in a fast-paced development environment while maintaining quality standards. - Experience using AI-assisted tools to accelerate test creation, defect analysis, and documentation. - Represent the Company and its values with integrity while maintaining high professional and ethical standards in all interactions. Minimum Qualifications: - Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or related field (or equivalent practical experience). - 3–6 years of experience in QA, test automation, or software quality engineering. - Experience building or maintaining automated test frameworks. - Experience working within Agile development teams. Preferred Qualifications: - Experience testing real-time or hardware-integrated systems. - Familiarity with industrial communication protocols such as CAN bus or Modbus. - Experience building simulation or hardware-in-the-loop (HIL) testing environments. - Exposure to embedded systems or RTOS concepts. - Experience implementing performance or stress testing in distributed systems. - Experience using AI tools for test case generation, log analysis, or anomaly detection. - Prior experience in industrial, automation, or Oil & Gas environments. Additional Details: The QA Automation Engineer must work with an emphasis on individual safety and safety for others, including coworkers and third parties. Software tested may directly control physical equipment; therefore, thorough validation and risk awareness are essential. Work is primarily performed in a climate-controlled office or remote environment, with occasional interaction with hardware systems for integration testing. The employee is regularly required to sit, stand, or use computer equipment for extended periods.

• Design, develop, and maintain data automation solutions to support analytics, reporting, and operational needs. • Build and manage automated data pipelines (ETL/ELT) to ingest, transform, and deliver data from multiple sources. • Automate data ingestion, validation, transformation, and enrichment processes to reduce manual effort and errors. • Integrate data across systems using APIs, databases, files, and cloud services. • Develop scripts and services to ensure data availability, quality, and reliability. • Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into automated solutions. • Support and optimize analytical workloads and Power BI through backend automation and data preparation (not focused on dashboards). • Implement monitoring, logging, and alerting for pipelines and automated processes. • Assist in migrating data automation solutions from on-premises environments to the cloud. • Ensure data governance, security, and consistency in automated data flows. • Act as a mentor to junior developers and contribute to data automation best practices.

• Experience designing, building, and scaling intelligent workflow automation solutions that transform business operations. • You will partner directly with business stakeholders to identify high-impact automation opportunities, then architect and deliver solutions that measurably reduce manual effort, improve accuracy, and accelerate business processes. • You will also be responsible for building the automation platform and the framework that enables the organization to scale automation adoption across departments. • Design and implement end-to-end automated workflows spanning multiple systems, departments, and data sources; • Combine RPA, AI/ML, API orchestration, and event-driven automation to create intelligent, adaptive workflows; • Implement AI-augmented automation: integrate LLMs for document understanding, email/ticket natural language processing, intelligent data extraction (OCR + NLP), and decision support; • Implement RPA governance: bot lifecycle management, credential management, execution scheduling, and audit logging;