Senior Software Engineer
Sand Technologies, a 'Physical AI' company, is hiring a Senior Software Engineer for its Telco Product team in Africa. The role is full-stack with a backend focus: building and deploying production Python services, integrating AI/data pipeline outputs, and running workloads on AWS (ECS, Airflow) with CI/CD, automated testing, and mentoring of mid-level engineers.
- Compensation
- Not disclosed
- Location
- Africa
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of software engineering experience with a proven track record of deploying robust, production software
- Full-stack with a strong focus on backend engineering (Python, Go, Ruby, Node or C#), DevOps and end-to-end solution design
- Production experience deploying and running software on a major cloud platform
- Strong software design skills, with a solid grasp of authentication/security and integration with data services
- Experience with automated testing (unit, component and BDD testing) and CI/CD
- Able to work autonomously, own features end to end in a small team, and communicate clearly with distributed colleagues and client-side stakeholders in regulated environments, including confident feat
Nice to have
- Experience with AWS (Managed AWS Airflow, ECS, containers)
- Exposure to telco or other critical/smart-infrastructure environments
- Experience building reusable software modules, preferably in Python
- Experience with orchestration tools such as Airflow
- Experience with MLOps
- Experience mentoring mid-level or junior engineers
- B.Sc. or M.Sc. in Computer Science, Software Engineering or a related field
Full description
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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 Senior Software Engineer to join our Telco Product team. This is a permanent role. You will be expected to build and maintain production grade code from the backend.
Our delivery squads run deliberately small software engineering teams, so this role must be genuinely full-stack and self-sufficient: designing and building backend engineering tasks within our product solution. You will take direction from the Technical Lead and turn it into shipped, production-quality features, while setting the engineering standards mid-level colleagues build on.
We work in cross functional teams so our Data Scientists and Data Engineers handle model creation and data pipelines, you will be expected to help in the deployment of these models and data pipelines and also build secure, scalable and quality code in our product solution components.
What you’ll do
- Build solutions end to end: Design, build and maintain the back-end services(Integration to APIs, build python modules etc.).
- Own engineering standards: Set up or main CI/CD pipelines, environments, testing, code review and observability on AWS, and establish practices a small cross-functional squad can sustain at pace.
- Integrate with AI and data: Collaborate closely with data engineering and data science specialists on integration points, consuming their pipelines, integrating AI/model outputs into the product and deploying these models or pipelines.
- Deploy and run on AWS: Build and deploy code on AWS (e.g. ECS, containers etc.), ensuring availability, security and low-latency performance.