DevOps Engineer, Environmental Scientist/Engineer

Role Overview

• Identify technology needs, promote solutions, and drive adoption with relevant staff
• Support the administration and implementation of DevOps platforms used to support computational work in the sciences and engineering teams
• Support the development and improvement of internal software, data resources, and technical workflows by contributing to the design, maintenance, and documentation of tools, processes, and code libraries.
• Help improve the reliability, usability, and consistency of technical resources used across projects and internal initiatives
• Contribute to reusable solutions that support data analysis, modeling, visualization, and related scientific computing needs
• Support the automated infrastructure to interpret environmental data using statistical, coding, and visualization tools, including R and Python
• Collaborative support to the development and application of environmental models, including optimization of I/O, improving the efficiency of mathematical model simulations, and supporting the development of methods to present results and communicate findings to technical and nontechnical audiences
• Overseeing the reliability and performance of large-scale data sets and model predictions used for high-volume environmental monitoring and scientific analysis
• Cross-functional collaboration between software developers, environmental scientists, and regulatory specialists to streamline digital workflows and reduce technical silos
• Integrating automated security best practices into pipelines to protect sensitive environmental data and ensure adherence to industry standards and government regulations

Requirements

• Bachelor’s or Master’s degree in environmental science, environmental or civil engineering, computer science, chemistry, mathematics, or a related field; Master’s degree preferred
• 3 to 7 years of relevant professional experience
• Proficiency in one or more scientific computing languages, preferably Python or R, and experience with related libraries such as NumPy, Pandas, Matplotlib, or Tidyverse
• Experience with modern software development and cloud computing environments, including platforms such as AWS, Azure, Google Cloud, and GitHub, as well as Linux/UNIX systems and containerized workflows
• Familiarity with software development and technical computing practices such as version control, reproducible workflows, artefact storage and reporting, API integration, data automation, collaborative development, and related concepts
• Experience in applying statistical analysis and environmental modeling methods, particularly for contaminant fate and transport in aquatic systems
• Exposure to in-water and upland remediation projects, including environmental sampling, data analysis, and feasibility studies; contaminated sediment experience preferred
• Strong technical writing skills for planning documents, data summaries, and regulatory reports
• Experience supporting or improving technical tools, workflows, or other shared computational resources
• Strong critical thinking, sound technical judgment, and effective written and verbal communication skills
• Experience with ArcGIS or related geospatial tools a plus

Tech Stack

• AWS
• Azure
• Cloud
• Linux
• Numpy
• Pandas
• Python
• Unix

Benefits

• Healthcare: Medical, dental, vision, basic life and AD&D insurance
• Paid Company and Floating Holidays: 7 paid company and 2 floating holidays annually
• Vacation: 2 weeks accrued paid vacation based on length of service. Vacation may vary by level.
• Sick and Safe Time: 80 hours annually
• Retirement Plan: 401k plan with an employer match