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Scientist III, Software Engineer, Upstream Process Development

The*** · Grand Island, NY, United States
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Grand Island, NY, United States87,200-116,200 USD/yearlyOnsite
Remuneration
87,200-116,200 USD/yearly
Location
Grand Island, NY, United States
Visa sponsorship
Sponsors visa

Job summary

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the The*** team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer.

Benefits

The salary range estimated for this position based in New York is $87,200.00–$11We offer a comprehensive Total Rewards package that our U.Colleagues and their families can count on, which includes:A choice of national medical and dental plans, and a national vision plan, incluEmployee assistance and family support programs, including commuterAnd tuition reimbursementRetirement and savings programs, such as our competitive 401(k) U.Retirement savings planEmployees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunityFor more information on ourPlease visit: https://jobs.thermofisher.com/global/en/total-rewards

Qualifications

  • Software Development & Deployment (Must)
  • 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
  • into scalable software solutions.
  • DevOps & Cloud Engineering (Must)
  • 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.

Responsibilities

  • You'll apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise.
  • In our collaborative environment, you'll develop and deploy sophisticated data science solutions that drive operational efficiencies and enhance decision-making capabilities.

Skills

Communication

Certifications

GitHub Actions

Degrees

AssociateBachelorDegreePhD

Industry

AutomotiveEducationHealthcareInsuranceManufacturing

Company size

EnterpriseSmb