Title: Sr. DTP Publisher - QA Location: Remote India Full time As a Senior Desktop Publisher for QA at Thermo Fisher Scientific, you'll contribute to our mission to make the world healthier, cleaner, and safer. You will provide advanced technical expertise in localization engineering and desktop publishing for complex, global projects. Managing the DTP aspects of localization processes, you'll ensure the highest quality and profitability while facilitating efficient translations and implementation in our customers' environments. This role combines creative technical skills with project management to deliver excellent results in a dynamic environment spanning multiple countries and cultures. REQUIREMENTS: • 5 years of experience in localization desktop publishing QA service • Proficiency in desktop publishing software including Adobe InDesign, Microsoft Office Suite • Overseeing the QA tasks for the file preparation and formatting files. • Any AI based experience. • Manage CAPA process and establish new guidelines for managing high quality of DTP work. • Liaise with Project management and Language management to support and classify DTP errors with RCA and PA measures. • Experience in creating and maintaining DTP QA guidelines and instructions • Clear written and verbal communication • Knowledge of multiple languages and cultural nuances preferred • Ability to manage multiple priorities effectively • Collaborative mindset • Detail-oriented with commitment to quality • Willing to work in any shift based on the work requirement and support other team members during their leaves

• Design, build, and optimize integrations, automations, and advanced AI workflows including agentic architecture. • Own the Workato automation stack, engineer scalable AI workflows on core platforms (Salesforce, NetSuite, Snowflake, Slack). • Collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in system efficiency and operational performance. • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability. • Architect multi-agent systems for tool selection, planning loops, state management, and human-in-the-loop Checkpoints. • Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end including ingestion, chunking strategy, embeddings, vector storage, and reranking. • Production observability: prompt/response tracing, cost monitoring, eval dashboards.

Title: Sr Test Automation Engineer Location: Remote North Carolina United States of America Full time Remote Join our team at Thermo Fisher Scientific and help make the world healthier, cleaner, and safer through innovative software solutions. As a Sr Test Automation Engineer, you'll work on next-generation cloud-based architectures and platforms, ensuring the quality and reliability of our scientific software products. You'll collaborate with teams to design, develop, and maintain comprehensive test automation frameworks while driving adoption of best practices across the organization. This role offers opportunities to work with advanced technologies in cloud computing, laboratory automation, and scientific instrumentation, directly impacting research and healthcare outcomes worldwide. Key Responsibilities: - Design, develop, andmaintainscalable and reliable automated test frameworks across UI, API, and performance layers. - Build and execute API, UI, and performance tests using automation frameworks like Selenium, Playwright, Appium, Rest Assured, or JMeter. - Apply BDD (e.g., Cucumber) or TDD approaches with maintainable and reusable test design patterns - Integrate automated testing into CI/CD pipelines, ensuring fast and reliable feedback - Improve test reliability by reducing flakiness andoptimizingexecution time - Enable parallel test execution andenvironmentscalability - Ensure end-to-end test coverage by creating and maintaining comprehensive test cases, test plans, and test scripts. - Perform exploratory and risk-based testing to uncover complex defectsand conductroot cause analysis and deep debugging of failures and defects - Analyze logs, data, and system behavior toidentifyhidden quality risks - Validate end-to-end workflows and complex integrations - Identify, document, and track defects using JIRA, Azure DevOps, or similar tools. - Collaborate with developers to improve testability and code quality - Write clean, maintainable, and scalable automation code following engineering best practices - Perform database validation using SQL/NoSQL RequiredQualifications: - Education: Bachelor's ormaster'sdegree incomputer science, Engineering, or related field. - Experience 8+ years of experience in software testing, test automation, and QA processes. - Proficiencyin programming languages such as Java, Typescript, JavaScript, or C# - Hands-on experience with automation frameworks (e.g., Playwright, Selenium, Appium) - Experience with API testing (REST Assured, Postman, etc.) - Strong debugging, analytical, and problem-solving skills - Experience with CI/CD pipelines and modern development practices - Proficiencyin database testing using SQL queries. - Must be legally authorized to work in the United States without sponsorship. - Must be able to pass a comprehensive background check, which includes a drug screening. Preferred Qualifications - Experience with cloud platforms (AWS, Azure, GCP) - Exposure to performance testing tools (JMeter, Gatling)

• Work with Cloud Operations Engineers to design, operate, and improve scalable services running on Azure Kubernetes Service (AKS) • Ensure the reliability, performance, and observability of both cloud‑native and on‑prem container platforms • Evolve and maintain our Infrastructure‑as‑Code ecosystem using Bicep, ARM templates, and Terraform • Support and enhance CI/CD capabilities across Azure DevOps (pipelines, boards, Git repos) • Collaborate with cross‑functional technical teams to expand automation and modernize operational processes • Act as a technical escalation point for global Operations Support teams • Introduce improvements across deployments, infrastructure, and monitoring with an automation‑first mindset • Maintain clear and accurate documentation, runbooks, and knowledge base articles • Support and maintain PostgreSQL instances running in cloud and containerized environments