About Us

Gismap is an innovative NatureTech startup combining computer vision and GeoAI to transform how geospatial information (GIS data) is used for biodiversity conservation in the real estate and construction industries. Our SaaS platform enables companies to measure, monitor, and enhance biodiversity with unprecedented precision. By integrating advanced machine learning, geospatial analytics, and domain expertise in biodiversity, we help organizations meet regulatory requirements (e.g., CSRD and DGNB) while reducing their environmental footprint. At Gismap, we develop solutions such as biofactor assessments, urbanBioScore evaluations, green-corridor analyses, and biodiversity-projection models—all focused on sustainable strategies and technological innovation.

About the Role

As a Django Backend Developer at Gismap, you will join a small, cross-functional team and play a key role in building and operating our platform. You will be responsible for designing and developing robust, scalable backend services that handle large geospatial datasets, integrate AI models into production environments, and deliver REST and MCP APIs for our frontend, integrations, and external partners. In parallel, you will help ensure stability, performance, and security in our cloud infrastructure (primarily GCP).

Primary Responsibilities

• Backend Services & APIs Design, implement, and maintain Django-based backend services and API endpoints that are secure, performant, and well-documented.

• AI/ML Integration Partner with our Data & ML team to productionize machine-learning models, ensuring reliable inference pipelines and model monitoring.

• Geospatial Data Solutions Build and optimize geospatial data pipelines using PostgreSQL/PostGIS and industry-standard GIS tools.

• Quality & Best Practices Enforce clean architecture, write comprehensive unit and integration tests, and uphold security and maintainability standards.

• CI/CD Automation Configure and manage automated testing and deployment workflows (e.g., GitHub Actions), ensuring smooth, repeatable releases.

• Monitoring & Performance Instrument, monitor, and fine-tune application performance and response times under real-world load conditions.

• DevOps Collaboration Work alongside DevOps to containerize services (Docker) and deploy to Google Cloud Platform, contributing to infrastructure design.

• Deployment & Infrastructure Own the end-to-end deployment process—from infrastructure provisioning (IaC) to rollout strategies, rollback plans, and environment management.

• Architectural Guidance Help define system architecture, evaluate new technologies, and perform regular architecture reviews to guide platform evolution

Qualifications

Must-Have

• 5+ years of professional experience in web or IT development

• Located between UTC−1 and UTC+3 for sufficient working hour overlap.

• Expert-level proficiency in Python, with hands-on experience in Django or a comparable web framework

• Strong track record designing and building RESTful APIs

• Deep familiarity with relational databases (PostgreSQL preferred), including schema design and query optimization

• Proven experience with Git-based version control and collaborative workflows (e.g., GitHub pull-requests, code reviews)

• Ownership of containerization (Docker) and building CI/CD pipelines (GitHub Actions or equivalent)

• Solid practice writing and maintaining automated tests (unit, integration)

• Experience leveraging AI-assisted development tools

• Fluent English communication skills (written and verbal)

Preferred

• Frontend chops in React.js (or similar SPA frameworks)

• Familiarity with Kubernetes or other container orchestration platforms

• Cloud infrastructure expertise on Google Cloud Platform, including service provisioning, monitoring, and autoscaling

• Hands-on with distributed messaging or caching (e.g., Redis, RabbitMQ)

• Experience with DevOps practices and Infrastructure-as-Code (Terraform, CloudFormation, OpenTofu)

• Working knowledge of GIS concepts and tools (GDAL, GeoDjango, QGIS)

Nice-to-Have

• Understanding of MCP workflows

• Experience automating processes using LLM-powered pipelines

• Domain insight into real estate or construction industries

Personal Competencies

• Self-driven and quality-oriented, with a bias for delivery

• Open to constructive feedback and thrives in cross-functional teams

• Proactive problem-solver who enjoys untangling complex technical challenges

• Passionate about technology, GIS, and biodiversity conservation

• Excellent at prioritizing and working methodically in a fast-paced startup

  
  

What We Offer

• A central role in an ambitious, fast-growing startup where your work has direct impact on our success and the world around us

• The opportunity to work with cutting-edge technologies in GeoAI, computer vision, and machine learning

• A cross-disciplinary environment with experts in UX, AI, and GIS

• Challenging and varied tasks

• A dedicated team committed to creating a more sustainable future through technological innovation