Asks for

The ad says“APIs.”
The ad says“Automated testing (unit/component/browser testing).”
The ad says“While our Data Scientists and Data Engineers handle the model creation and data pipelines, you will build the secure, high-performance applications and APIs that bring those insights to our clients. The ideal candidate will have a deep background in software engineering, backend systems, cloud infrastructure, and distributed architectures.”
The ad says“Drive Engineering Excellence: Champion best practices in software development, including writing clean code, rigorous testing, system monitoring, and maintaining CI/CD pipelines.”
The ad says“While our Data Scientists and Data Engineers handle the model creation and data pipelines, you will build the secure, high-performance applications and APIs that bring those insights to our clients. The ideal candidate will have a deep background in software engineering, backend systems, cloud infrastructure, and distributed architectures.”
The ad says“Data visualisation.”
The ad says“While our Data Scientists and Data Engineers handle the model creation and data pipelines, you will build the secure, high-performance applications and APIs that bring those insights to our clients. The ideal candidate will have a deep background in software engineering, backend systems, cloud infrastructure, and distributed architectures.”
The ad says“Back end experience (typically django/some node).”
The ad says“Front end development (strong React and JavaScript experience is essential).”
The ad says“Architect and Develop Scalable Systems: Design, build, and maintain robust backend services, microservices, and APIs to support complex, data-driven applications.”
The ad says“Back end experience (typically django/some node).”
The ad says“Front end development (strong React and JavaScript experience is essential).”
The ad says“SQL database design + usage.”
The ad says“SQL database design + usage.”

About Sand

Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.

Our work delivers proven real-world impact. We have built AI systems that help manage London’s water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa. From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments.

Our people are ambitious, curious and relentlessly practical. Our teams work alongside clients in the field, solving hard problems and deploying solutions that last. With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and engineering to deployment and capability building.

Our mission is simple: to harness AI to solve humanity’s most pressing challenges.

About the role

We are seeking an experienced Software Engineer to join our US team. As a key contributor, you will be responsible for designing, building, and scaling the robust software architectures that power our physical AI solutions.

While our Data Scientists and Data Engineers handle the model creation and data pipelines, you will build the secure, high-performance applications and APIs that bring those insights to our clients. The ideal candidate will have a deep background in software engineering, backend systems, cloud infrastructure, and distributed architectures.

Responsibilities

Architect and Develop Scalable Systems: Design, build, and maintain robust backend services, microservices, and APIs to support complex, data-driven applications.
Integrate with AI & Data Ecosystems: Collaborate closely with Data Scientists and Data Engineers to seamlessly consume their data pipelines and integrate AI models into the core software products.
Manage Cloud & Infrastructure: Build and deploy applications using modern cloud platforms (e.g., AWS, Azure, GCP), ensuring high availability, security, and low-latency performance.
Drive Engineering Excellence: Champion best practices in software development, including writing clean code, rigorous testing, system monitoring, and maintaining CI/CD pipelines.
Mentor and Lead: Guide and mentor junior software engineers, fostering a culture of continuous technical improvement and innovation.

Requirements - Essential

3+ years of software engineering experience, ideally with exposure to water, wastewater, utilities, or smart infrastructure environments.
B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field.
Experience working with high-volume or real-time data systems; familiarity with time-series databases or handling telemetry/IoT data is a massive plus.
Proven track record of deploying robust software solutions into production.
Ability to translate complex technical concepts into actionable insights for engineering and operations teams.
Strong communication skills and experience working with public-sector or regulated environments.
Front end development (strong React and JavaScript experience is essential).
Back end experience (typically django/some node).
Automated testing (unit/component/browser testing).
APIs.
Data visualisation.
SQL database design + usage.

Location

This is not a remote position. This role requires 50 - 75% travel to client sites for the first year.

Due to the considerable amount of virtual work and interaction with colleagues and customers, especially within the EMEA region, it is essential that the successful applicant has the drive and ethic to succeed in working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential.