Full Stack Engineer

You'll help design, build, and scale a production-grade platform, including:

• Building scalable backend services to ingest and store real-time ocean sensor data (salinity, temperature, pressure, light, acidity, CO , dissolved oxygen, nitrates, and more)
• Developing intuitive, map-based dashboards that visualise live and historical environmental data
• Creating user management, APIs, alerting systems (SMS/email/push), and reporting tools
• Collaborating with field engineers to validate sensor payloads, calibration, and data ingestion
• Helping design the end-to-end data pipeline - from edge devices to cloud infrastructure
• Working closely with leadership, marine operations, AI/ML, and commercial teams to shape the product roadmap
• Laying the groundwork for AI-ready data, satellite integrations, predictive analytics, and ESG-grade reporting, * Work at the intersection of climate tech, deep tech, and ocean systems
• Build software that directly supports coastal resilience, marine ecosystems, and the blue economy
• Join a fast-moving, mission-driven team spanning AI, robotics, and climate science
• Real ownership: equity upside and the chance to shape the platform architecture from the ground up
• A clear path toward technical leadership as the platform and team scale

If you're motivated by meaningful problems, elegant systems, and real-world impact and want to help define how ocean data is used globally, I'd love to hear from you.

Please note this role is not live right now but is going live shortly, I thought this period would be a good time to catch people and maybe even have an initial chat., * 3-5+ years' experience as a full-stack engineer, ideally in climate, IoT, hardware-adjacent, or deep-tech environments

• Strong proficiency in Node.js and/or Python, PostgreSQL / time-series databases, and modern front-end frameworks (React / Next.js)
• Experience building real-time data systems, APIs, and production dashboards
• Familiarity with cloud platforms (AWS, Azure, or GCP), especially systems interacting with edge devices
• Comfort working with sensor, geospatial, or scientific data (or a strong desire to learn)
• A product mindset - you care about UX, performance, clarity, and making complex data usable for non-technical users

Nice to Have (But Not Required)

• Experience with environmental or marine datasets, ESG tools, or compliance platforms
• Exposure to spatial visualisation (Mapbox, Leaflet), satellite imagery, or digital twins
• Experience with time-series databases and visualisation tools (Grafana, Plotly, etc.)
• Previous experience in an early-stage startup or building alongside hardware teams