1137 - Full Stack Software Engineer

Posted 17d ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Collaborate with engineers, product team, and stakeholders to build high-quality tools
Develop and maintain full-stack features across modern web applications
Create geospatial data visualizations and map-based interfaces using Mapbox GL JS and deck.gl
Design and consume event-driven services using Kafka for real-time data streaming
Build and operate cloud-native infrastructure with AWS, Docker, Kubernetes/ArgoCD, and background job workers
Ship changes through GitLab CI/CD and evolve database schemas with Flyway migrations
Instrument what you build with logging, metrics, and alerting
Take ownership of features, services, and components end-to-end

4–6 years of professional software development experience
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience)
Hands-on experience with agentic coding tools (Claude Code, Codex CLI, or similar)
Strong command of at least one backend language (Python preferred)
Working fluency with SQL and relational databases (PostgreSQL preferred)
Working knowledge of JavaScript/TypeScript and React or equivalent framework
Excellent written and verbal communication
Self-motivated and comfortable working independently
Comfortable learning new technologies and adapting to changing priorities

FastAPI, Flask, Django, or similar Python web frameworks
PostgreSQL/PostGIS and geospatial query optimization
Next.js and modern React/TypeScript tooling
Web mapping and visualization libraries (Mapbox GL JS, deck.gl, Leaflet)
Event streaming platforms (Kafka preferred) or other message broker systems
Cloud platforms (AWS preferred - S3, SQS, SNS, MSK), containerization (Docker), and orchestration (Kubernetes)
CI/CD pipelines and automated testing
Infrastructure as code (Terraform) or GitOps workflows
Observability tools and practices - logging, metrics, alerting
Geospatial data processing, remote sensing, or the energy sector
GIS tools and libraries (GDAL, PDAL, QGIS, GeoPandas, Fiona, etc.)

Skills