Python Automation Testing Jobs in North Tonawanda, NY

Job Summary:
Thermo Fisher Scientific is a company focused on making the world healthier, cleaner, and safer. They are seeking a Data Scientist III to apply advanced analytics, machine learning, and AI techniques to solve complex business challenges, developing and deploying data science solutions that enhance decision-making capabilities.
Responsibilities:
• Design, develop, deploy, and maintain enterprise-scale Python applications, including Dash-based analytical and operational applications.
• Own application deployment lifecycle from development through production support.
• Develop and maintain APIs, backend services, data integrations, and user-facing dashboards.
• Partner with scientists, engineers, and business stakeholders to translate requirements into scalable software solutions.
• Build, maintain, and optimize CI/CD pipelines for automated testing, deployment, and release management.
• Implement DevOps best practices including infrastructure as code, monitoring, logging, and automated recovery.
• Deploy and manage applications in cloud environments such as AWS, Azure, or GCP.
• Manage containerized applications using Docker and orchestration platforms such as Kubernetes.
• Ensure application reliability, security, scalability, and performance in production environments.
• Design and implement integrations with manufacturing, laboratory, and process automation systems.
• Develop solutions leveraging OPC UA, OPC DA, MQTT, and other industrial communication protocols.
• Collaborate with automation, manufacturing, and process engineering teams to enable real-time data acquisition and visualization.
• Support Industrial IoT (IIoT) initiatives and data platform integrations.
Qualifications:
Required:
• Design, develop, deploy, and maintain enterprise-scale Python applications, including Dash-based analytical and operational applications.
• Own application deployment lifecycle from development through production support.
• Develop and maintain APIs, backend services, data integrations, and user-facing dashboards.
• Partner with scientists, engineers, and business stakeholders to translate requirements into scalable software solutions.
• Build, maintain, and optimize CI/CD pipelines for automated testing, deployment, and release management.
• Implement DevOps best practices including infrastructure as code, monitoring, logging, and automated recovery.
• Deploy and manage applications in cloud environments such as AWS, Azure, or GCP.
• Manage containerized applications using Docker and orchestration platforms such as Kubernetes.
• Ensure application reliability, security, scalability, and performance in production environments.
• Master’s degree in computer science, Software Engineering, Data Science, Engineering, or related technical field with 3+ years of relevant experience; OR Bachelor's degree with 5+ years of relevant experience.
• 3+ years of experience developing and deploying production software applications.
• Strong proficiency in Python and modern software development practices.
• Hands-on experience developing and deploying Python Dash, Flask, or similar web applications.
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, GitLab CI, or Jenkins.
• Experience deploying and supporting applications in cloud environments (AWS, Azure, or GCP).
• Experience with Docker containers and Kubernetes orchestration.
• Strong knowledge of software release management, DevOps practices, monitoring, and automation.
• Experience with Microsoft SQL Server, database design, query optimization, and performance tuning.
• Familiarity with Linux/Unix administration and scripting.
Preferred:
• Design and implement integrations with manufacturing, laboratory, and process automation systems.
• Develop solutions leveraging OPC UA, OPC DA, MQTT, and other industrial communication protocols.
• Collaborate with automation, manufacturing, and process engineering teams to enable real-time data acquisition and visualization.
• Support Industrial IoT (IIoT) initiatives and data platform integrations.
• Experience integrating with OPC UA, OPC DA, MQTT, SCADA, historian systems, or other industrial/IoT platforms.
• Understanding industrial automation, manufacturing systems, or laboratory informatics environments is highly desirable.
Company:
Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services. Founded in 1956, the company is headquartered in Waltham, USA, with a team of 10001+ employees. The company is currently Late Stage.