Scientific Programmer

The Scientific Programmer III develops and modernizes cloud-based software solutions that support large-scale scientific data systems and archive workflows in a remote work environment. This role focuses on migrating applications to AWS, developing Python applications, and implementing CI/CD automation to improve the reliability, scalability, and performance of scientific data processing. Success in this role means delivering robust, well-documented solutions that efficiently manage complex scientific datasets while collaborating with scientists, engineers, and cloud architects to develop innovative, high-performing software. What You Will Do in This Role The Scientific Programmer III will design, develop, and optimize cloud-based software and automation solutions that support scientific data processing, modernize applications, and ensure reliable, scalable systems through collaboration, CI/CD, and AWS technologies. Responsibilities include Design, develop, test, and maintain software that supports scientific data processing and archive workflows. Develop and maintain Python-based applications and automation tools. Build and enhance CI/CD pipelines to support automated software development, testing, and deployment. Support the migration of scientific applications and workflows from on-premises environments to AWS. Collaborate with scientists, software engineers, cloud architects, and system administrators to implement scalable cloud solutions. Develop solutions for processing, storing, and managing large scientific datasets using modern cloud technologies. Troubleshoot and resolve application, workflow, and deployment issues to ensure reliable system performance. Research, evaluate, and implement new technologies that improve system performance, scalability, and maintainability. Create and maintain technical documentation, software designs, and operational procedures. Participate in Agile development activities including sprint planning, code reviews, and team collaboration. Perform other duties and responsibilities as assigned. What You Will Bring Required qualifications Bachelor's degree in Computer Science, Software Engineering, Data Science, a related technical discipline, or equivalent work experience. Eight (8) or more years of experience developing scientific or data-intensive software applications. Experience developing applications using Python. Experience supporting CI/CD pipelines and software automation. Experience working in Amazon Web Services (AWS) cloud environments. Experience with cloud-native application development and infrastructure automation. Familiarity with scientific data processing and large-scale data management. Experience working in Agile/Scrum software development environments. Strong analytical, troubleshooting, written, and verbal communication skills. Preferred qualifications Experience migrating applications or workflows from on-premises infrastructure to AWS. Experience with data lake architectures, data mesh concepts, or other modern data management approaches. Experience working with large-scale archive systems or scientific data repositories. Experience with Infrastructure as Code (e.g., Terraform, AWS CloudFormation, or AWS CDK). Familiarity with Git-based source control and DevOps best practices. Experience supporting high-performance computing (HPC) or distributed computing environments. Work authorization/security clearance requirements Ability to obtain a security clearance. Work Environment This work is normally completed in a remote environment. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to access and navigate each department at the organization's and client facilities. Travel Required No Proficiency Requirement The employee is expected to demonstrate proficiency in all essential job functions, tools, and processes related to this position within the first 90 days of employment. This includes acquiring a thorough understanding of job-specific responsibilities, systems, and workflows as outlined during onboarding and training. Failure to meet this requirement may result in additional training, reassessment, or other actions as deemed necessary by management. Executive Recruiting