Geospatial Full Stack Engineer
3 months ago
Your Challenge
Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada's largest research and technology organization.
We are looking for a Geospatial Full Stack Engineer (React) to support our Ocean, Coastal and River Engineering (OCRE) Research Centre in Ottawa (ON).
NRC Ocean, Coastal and River Engineering (OCRE) supports a broad cross-section of industry sectors by developing creative and practical solutions to engineering challenges in rivers, lakes, and marine environments. We provide expertise and tools to identify, adapt, and integrate advanced solutions into systems that improve the performance and safety of ocean, coastal, and marine operations, meet the challenges of climate change, and protect infrastructure, property and people from severe weather events and other environmental risks.
Reporting to the Data Science and Artificial Intelligence Team Lead, the Web Developer creates and maintains web tools and services to advance OCRE's research capabilities and to meet the needs of research and commercial projects.
The ideal candidate for this position would possess the skills required to amplify OCRE’s research impacts through developing efficient and accessible online tools. This ideal candidate would embrace and lead the adoption of the latest web technologies, cloud service providers and spatiotemporal big data analytical/visualization libraries to support a variety of projects, such as:
Screening Criteria
Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:
Education
Bachelor's degree in Computer Science, Computer Engineering, or a related field. Equivalency of experience and education may be considered for candidates with other Bachelor (technical) degrees.
For information on certificates and diplomas issued abroad, please see Degree equivalency
Experience
Significant experience developing and designing architecture for Single Page Application (SPA) using React; Significant experience building and maintaining user interface components using React component libraries (, Antd, MUI, Styled-components); Significant experience in building web application using mapping libraries (GIS) and charting librairies like Leaflet, Mapbox GL JS, OpenLayers, CesiumJS, , , Plotly, Echarts, etc. Experience building serverless applications using AWS cloud-based services, such as AWS Lambda, AWS S3, AWS API Gateway, AWS DynamoDB, etc. Experience with source control system Git, continuous integration tools, ansible or other deployment automation tools Experience using Python, virtual environments and data science packages (, scipy, pandas, xarray, dash) to read, manipulate and analyse large temporal and spatial datasets will be considered an asset Experience with developing web API using HTTPS and REST protocols will be considered an asset Experience with composing and deploying Docker containers and images will be considered an asset Significant is defined as > 3 years
Condition of Employment
Reliability Status
Language Requirements
English
Information on language requirements and self-assessment tests
Assessment Criteria
Candidates will be assessed on the basis of the following criteria:
Technical Competencies
Significant ability to develop and design architecture for Single Page Application (SPA) using JavaScript, NodeJS, NPM and React; Significant ability to build and maintain user-interface components using React component libraries (, MUI, storybook, styled-components) Significant ability to manipulate geospatial data and develop custom react components using mapping and charting libraries such as eaflet, Mapbox, OpenLayers, etc. Ability to build serverless applications using AWS cloud-based services, such as AWS Lambda, AWS S3, AWS API Gateway, AWS DynamoDB, etc. Knowledge of source control system Git; continuous integration tools, ansible or other deployment automation tools Knowledge of Python, virtual environments and data science packages (, scipy, pandas, xarray, dash) to read, manipulate and analyse large temporal and spatial datasets will be considered an asset Knowledge of design and usage of web API using HTTPS and REST protocols will be considered an asset Knowledge of composing and deploying Docker containers and images will be considered an asset
Behavioural Competencies
Technology support - Results orientation (Level 3) Technology support - Teamwork (Level 2) Technology support - Self-knowing and self-development (Level 2) Technology support - Conceptual and analytical ability (Level 2) Technology support - Client focus (Level 2)
Competency Profile(s)
For this position, the NRC will evaluate candidates using the following competency profile: Technology Support
View all competency profiles
Relocation
Relocation assistance will be determined in accordance with the NRC's directives.
Compensation
Salary under review.
From $89,548 to $112,660 per annum.
An incumbent occupying a position within the CS Group is currently entitled to receive a terminable allowance of $212 per month.
NRC employees enjoy a wide-range of competitive benefits including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements.
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