Principal Software Engineer
About the job
- At least 10 years of software engineering experience building, shipping, and operating production systems across multiple technology stacks and domains.
- Hands-on infrastructure engineering experience with Kubernetes, containers, networking, Infrastructure as Code, and production environments across AWS, Azure, and/or on-premises infrastructure.
- Deep backend engineering experience using Python and/or Node.js/TypeScript, with knowledge of distributed systems, APIs, relational databases, and scalable application design.
- Data engineering capabilities, including building data pipelines, streaming architectures, orchestration workflows, and integrating heterogeneous enterprise data at scale.
- Experience deploying and operating AI/ML systems, including machine learning models and LLM-powered applications in production, with understanding of MLOps principles.
- Systems design skills and a track record of architecting reliable, scalable, and resilient platforms that solve complex real-world problems.
- Technical leadership through mentoring engineers, driving architectural decisions, reviewing code, and contributing hands-on to implementation.
- Frontend experience sufficient to design, review, and contribute when needed, alongside deep backend and infrastructure expertise.
- Ability to navigate ambiguity, define technical direction, and drive complex initiatives with minimal oversight.
- Ability to adapt to new technologies, domains, and constraints.
- Responsibility for the long-term success of systems, from initial design through production support and continuous improvement.
- Comfort leveraging AI-assisted development tools while maintaining software quality, architecture, and engineering standards.
- Comfort operating in small teams and contributing to larger, globally coordinated efforts.
- Ability to maintain clear and consistent communication through virtual collaboration tools and video conferencing.
- Design, build, and evolve core platform capabilities, including heterogeneous data integration, ontology and semantic modeling engines, simulation services, optimization capabilities, and AI-powered decision support systems.
- Architect and develop scalable, production-grade distributed systems across cloud-native, hybrid, sovereign cloud, and fully air-gapped environments.
- Own the full engineering lifecycle for platform components, from technical design and implementation through deployment, production operations, monitoring, and continuous improvement.
- Build robust data platforms that ingest, transform, and synchronize data from modern cloud services, legacy systems, IoT devices, and disconnected operational environments.
- Develop backend services using Python and Node.js/TypeScript, designing secure, resilient, and performant APIs and distributed services.
- Deploy and operate AI-powered solutions, including machine learning and LLM-based systems, ensuring they are reliable, scalable, and production-ready.
- Provide technical leadership by mentoring engineers, reviewing architecture and code, setting engineering standards, and guiding teams through complex technical decisions.
- Collaborate with product managers, engineers, and domain experts to translate complex operational challenges into technical solutions.
- Improve platform reliability, observability, automation, testing, deployment practices, and overall system performance.
- Create clarity, define technical direction, and deliver solutions to problems without predefined answers.
- Use AI throughout the engineering lifecycle to accelerate development, improve productivity, and build intelligent systems while maintaining engineering quality.
- Experience building semantic data models, ontologies, or knowledge graph platforms.
- Experience with simulation, optimization, or digital twin technologies.
- Experience developing AI agents or autonomous workflows.
- Exposure to healthcare, utilities, telecommunications, energy, or government technology platforms.
- Experience building platforms for sovereign cloud or air-gapped deployments.
- Experience contributing to platform engineering or developer tooling initiatives.
About the company
Sand Technologies provides AI solutions for enterprises and industries, using advanced data science to help clients automate processes, generate predictive insights, and build custom models. Its products are tailored AI applications that combine automation, predictive analytics, and specialized modeling to meet each client’s needs. The company serves large corporations and niche sectors worldwide, differentiating itself through customized, scalable AI deployments rather than one-size-fits-all products, and by building long-term partnerships. The goal is to help clients solve complex challenges, improve efficiency, and drive innovation by adopting scalable AI solutions under project-based, subscription, and long-term service contracts.
Company Size
201-500
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
2023
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Simplify's Take
What believers are saying
- Cassava's 2026 GPU access improves training capacity for African enterprise deployments.
- St. Louis Water Division said AI digital twins cut anomaly response times from hours to minutes.
- Baltimore, Envision Racing, and Smart City Expo partnerships broaden market credibility in 2026.
What critics are saying
- Services-heavy positioning faces commoditization if AWS partners like Compass UOL replicate delivery.
- Customer concentration risk is visible in flagship references: Thames Water, MTN, Severn Trent.
- Existential risk: Symmetri failures in water or energy networks destroy trust instantly.
What makes Sand Technologies unique
- Symmetri targets physical infrastructure, not generic enterprise software, across 18+ countries.
- Sand bundles sensors, digital twins, and operational AI into one control layer.
- Fred Swaniker's Evolve 2026 frames Sand as Physical AI for critical infrastructure.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
-7%1 year growth
-7%2 year growth
-9%Under that agreement, Sand Technologies will utilise Cassava's GPUs to develop AI solutions for the African continent.
Cassava Technologies, a global technology leader of African heritage, is pleased to announce that it has signed a Memorandum of Understanding (MoU) with Sand Technologies, a leading global enterprise AI solutions company and a key player in Africa’s emerging artificial intelligence (AI) ecosystem. The strategic partnership, announced at the Global AI Summit on Africa in Kigali, Rwanda, aims to enhance the delivery of AI solutions and GPU-as-a-service (GPUaas) across the African continent, making AI solutions more accessible to African businesses.“As more businesses across Africa seek to harness the potential of AI, the demand for powerful GPU processing capabilities is increasing. By providing Sand Technologies with access to Cassava’s GPU solutions, we are not only enabling them to develop advanced AI solutions for their clients across industries but also expanding Cassava’s own footprint into these industries. Positioning ourselves as a provider of GPU-as-a-service means we can offer African businesses the cost-effective, scalable processing solutions they need to compete in an AI-driven world,” said Hardy Pemhiwa, President and Group CEO of Cassava Technologies.Sand Technologies is an enterprise AI solutions company supporting the telecommunications, water, energy, healthcare, and insurance industries in the Americas, Europe, Asia and Africa. Aligning with Cassava’s commitment to enabling AI development and innovation on the African continent, Sand Technologies will use Cassava’s advanced NVIDIA-powered GPU capabilities to build and deploy AI solutions worldwide. Highlighting their mutual commitment to Africa’s digital future, the two companies will identify pilot use cases and collaborate in co-creating and distributing AI-powered solutions that leverage GPUs.“Sand Technologies is proud to partner with Cassava in what is set to be a pivotal moment for the advancement of industry-related AI solutions on the African continent
Cassava Technologies, a global technology leader of African heritage, is pleased to announce that it has signed a Memorandum of Understanding (MoU) with Sand Technologies, a leading global enterprise AI solutions company and a key player in Africa’s emerging artificial intelligence (AI) ecosystem. The strategic partnership, announced at the Global AI Summit on Africa in Kigali, Rwanda, aims to enhance the delivery of AI solutions and GPU-as-a-service (GPUaas) across the African continent, making AI solutions more accessible to African businesses.“As more businesses across Africa seek to harness the potential of AI, the demand for powerful GPU processing capabilities is increasing. By providing Sand Technologies with access to Cassava’s GPU solutions, we are not only enabling them to develop advanced AI solutions for their clients across industries but also expanding Cassava’s own footprint into these industries. Positioning ourselves as a provider of GPU-as-a-service means we can offer African businesses the cost-effective, scalable processing solutions they need to compete in an AI-driven world,” said Hardy Pemhiwa, President and Group CEO of Cassava Technologies.Sand Technologies is an enterprise AI solutions company supporting the telecommunications, water, energy, healthcare, and insurance industries in the Americas, Europe, Asia and Africa. Aligning with Cassava’s commitment to enabling AI development and innovation on the African continent, Sand Technologies will use Cassava’s advanced NVIDIA-powered GPU capabilities to build and deploy AI solutions worldwide. Highlighting their mutual commitment to Africa’s digital future, the two companies will identify pilot use cases and collaborate in co-creating and distributing AI-powered solutions that leverage GPUs.“Sand Technologies is proud to partner with Cassava in what is set to be a pivotal moment for the advancement of industry-related AI solutions on the African continent
"Sand Technologies is proud to partner with Cassava in what is set to be a pivotal moment for the advancement of industry-related AI solutions on the African continent.
In a move set to revolutionize the AI landscape across Africa, Cassava Technologies and Sand Technologies announced a groundbreaking partnership at the Global AI Summit in Kigali.