RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with technical and science-based solutions in pursuit of a better future.
Responsibilities:
CWR is currently increasing the number of software applications it develops, operates, and maintains in support of the water sector.
These include scalable web applications as well as more traditional systems that are hosted on our client’s on-premise infrastructure and cloud infrastructure, as well as our own cloud resources, including: Decision support systems Scalable environmental modeling platforms Data analytics platforms Software libraries and desktop applications We have an immediate opportunity for a Senior Environmental Applications Developer (Full Stack Developer with a focus on Cloud Integration) to join our small but growing group of core software developers.
The successful candidate will work with multidisciplinary teams, including software developers, subject matter experts, and non-technical staff, to support, operate, maintain, and enhance existing in-house software as well as contribute to the development of new software products to support CWR projects and initiatives.
To be considered for this position, you must provide a resume and a non-AI-generated cover letter showing that you understand the type of work we do and highlighting how your experience aligns with that work.
This position may be right for you if you: Exhibit passion for technology, enjoy working on several projects at the same time, and are energized by building, understanding, maintaining, and troubleshooting complex systems.
Requirements:
Minimum Qualifications: Bachelor's degree in computer science, engineering, or an environmental or engineering discipline with an emphasis on software development and at least 5 years of professional experience in information technology or software development OR a master’s degree in the same fields with at least 3 years of professional experience.
The successful candidate will also be able to demonstrate real-world experience in the following items (specific technologies currently used by the team are shown in parentheses for reference but are not all required): Extensive experience working with Unix/Linux operating systems and comfortable with command-line tools. Experience using cloud platforms such as Amazon Web Services or Microsoft Azure, including setting up Infrastructure-as-Code (Terraform, CloudFormation, etc.).
Certification is a plus. Containerization, deployment, and administration of application components (web services, models-as-a-service) to support cloud deployment and scalable computing (Garden, Docker, Kubernetes, AWS, Azure). Building ETL pipelines to ingest and process scientific data from external sources (Python, Prefect).
Relational database and data warehouse design and administration to support the management of scientific data, including timeseries data, gridded environmental data, and numeric model configuration data (PostgreSQL, PostGIS, SQLite, Iceberg).
Iceberg) Design and development of REST and/or Graph web services to support modeling, data collection, and data visualization objectives (Python, Django, Go, Hazera).
Development of single-page web applications to support the collection, dissemination, and visualization of scientific data to end users (JavaScript, React, Polly, Leaflet, Material-UI).
