Senior Software Engineer

Who is Nabat?

Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale
We operate at the intersection of ecological & environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI & ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we're just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.

If this mission resonates with you, let's talk.

What is the role?

We're building our product development team from the ground up and are looking for highly talented, self-driven
Senior Software Engineers with proven GIS and AI experience
and a passion for solving big complex problems in the nature, climate and geospatial tech space.

Relocation to the UAE is required
– generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.

Your responsibilities will include:

• Own the end-to-end software development lifecycle
  for Nabat's ecosystem management platform
  as a senior/staff-level individual contributor
  . From conception, through discovery, design, proof of concept, development, launch and continuous iteration.
• Design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
  for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
• Write, test and support production code and maintain cloud services
  in your capacity as a full stack, backend, frontend, platform/infrastructure or data engineer – we're open to different specializations to round out the team.
• Work with AI engineers/data scientists and ecologists
  to develop, train, validate, refine and deploy AI models in production while meeting pre-defined performance criteria.
• Ideate and iterate on new and existing features
  , coming up with technically viable solutions, developing PoCs and prototypes to validate, and turning them into production-ready features and services
  that meet real-world user needs.
• Communicate and collaborate cross-functionally
  with product managers, data scientists, HW engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
• Knowledge transfer from and continuous engagement with researchers
  (from Technology Innovation Institute)
  and external partners
  to understand and take ownership what has been built to date, become the subject matter expert for your product domain, and lead the research & development roadmap for your domain.

What are we looking for?

• Technical prowess:
  You have extensive, hands-on development experience with, and an informed opinion on, many of the following tools, libraries, and frameworks in the modern Geospatial AI tech stack.
• Web app development frameworks
  : React, Node, Vue, Angular, JavaScript/TypeScript, , Sprint Boot or similar.
• Geospatial data processing, analysis, and visualization tools
  : Python, ArcGIS, QGIS, Grass GIS, Mapbox, Leaflet, GDAL, GeoPandas, etc. Bonus: You know who Matt Forrest is.
• AI/ML model development and engineering
  : familiarity with machine learning techniques, models and frameworks for image analysis, object detection, semantic segmentation, prediction, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc).
• Cloud platforms:
  experience using AWS, GCP, or Azure for geospatial data storage and processing.
• Data storage, query, caching and pipeline tools:
  GDAL, PostgreSQL, PostGIS, GeoParquet, Sedona, Kafka, BigQuery, RabbitMQ, Redis, etc. You can explain the difference between GeoTIFF and GeoJSON
• CI/CD tools:
  GitHub, Docker, Kubernetes, Postman, Jenkins, PyTest, etc
• Monitoring and logging tools:
  Datadog, Kibana, Grafana, Sentry, Splunk, etc.
• Nice to have: experience integrating with cameras, robotics, IoT/sensor devices or other hardware.
• Builder/entrepreneur mindset:
  You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
• Communication excellence:
  You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
• Bias for action and execution:
  You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
• Problem-solving aptitude:
  You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
• Nice to haves: previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.

Why join Nabat?

A once-in-a-lifetime opportunity to

• Join a well-funded early-stage tech startup
  at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology & agricultural science.
• Design, build and shape a product from the ground up
  using your unique skills and expertise.
• Work with a truly international and world-class R&D team
  both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
  
  ), Technology Innovation Institute (
  
  ), and VentureOne (
  
  ) ecosystem.
• Relocate to Abu Dhabi – one of the safest, most livable, expat-friendly cities in the world
• with an "all inclusive" relocation package for you and your family, that includes work & residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
• Make a real and direct impact
  to solving the most critical challenges of our time – climate change and ecosystem loss

What is the hiring process like?

We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:

• Initial screening call
  with a member of our Talent team to ensure expectations and experience aligns.
• First interview with hiring manager
  about the role and ask questions –
  Taha Ghaznavi
  , Chief Product Officer, Nabat.
• Second interview with technical team member(s)
  to assess your capabilities. Might include a coding test and/or small case study.
• Third interview with a senior leader
  to assess culture fit and give you opportunity to meet your future stakeholders.
• Hiring decision and conditional offer.
• Background check and final offer.
• Relocation to the UAE and onboarding

Apply with your CV and tell us what makes you & your experience a great fit for Nabat.