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Share in Amsterdam is seeking a Founding Software Engineer to take ownership of critical technical domains including payments and billing systems. You'll work closely with the CTO on production systems integral to our ISP partners, leveraging your deep TypeScript and backend expertise.
This role requires 7+ years of software engineering experience and a mindset of using AI tools daily as part of the development process. A competitive salary and equity package are offered in a venture-backed startup.
Share is a venture-backed internet infrastructure network building Africa’s backbone. The company aggregates underutilized telecom infrastructure, fiber, subsea cables, and data centers, and provides ISPs with scalable access to bandwidth without traditional upfront costs. Through an open-access model, local internet providers can deliver dramatically faster speeds to their subscribers without raising their own costs.
The platform team builds the software that makes this work: billing, payments, subscriber management, RADIUS-based network authentication, and integrations with ISP billing systems and mobile money providers. We are replacing legacy, non-API systems with a modern API platform, and real money is already flowing through the system. This is a small, high-intensity engineering team building core infrastructure under real deadlines. You will own entire domains, not tickets.
We are hiring a Founding Software Engineer to take ownership of the platform’s most critical technical domains: the payments pipeline (collections, revenue splitting, treasury operations), the billing engine (subscription lifecycle, cycle management, automated renewals), and the integration layer (BSS/OSS sync with partner systems). You will work directly with the CTO and a small team of engineers to ship production systems that handle real financial transactions for real ISP partners.
We expect every engineer at Share to use AI tools as a daily part of their workflow. This is not optional and not aspirational — it is how we operate. Our entire project planning, specification, and documentation process runs through AI-assisted sessions. Our codebase includes AI-readable context files. We use Claude for architecture decisions, code review, spec generation, and technical writing.