Job Opportunities API

Aspire Software is looking for a AI Developer to join our team in Lebanon. Here is a little window into our company:  Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the job: We are deliberately looking for someone who has not worked in COBOL before. The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact. Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best. This is also why we are looking for an engineer who works fluently with AI. Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack. Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here. If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you. In your first six months Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer. This is protected time, treated as part of the role, not something you do around other work. Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path. Help us document what you’re learning as you learn it. Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice. Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production. Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone. Beyond six months Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy. Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering. Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules. Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch. Own projects end to end. Work starts from a client-facing Design Doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between. Adapt to the business. Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them. Mentor the next Go-into-COBOL hire as the team grows. Requirements 4–7 years of professional software engineering experience, with significant time writing production Go. Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow. You enjoy reading code more than you fear it. Strong fundamentals: data structures, concurrency, debugging, designing for failure modes. Language familiarity matters less than the habits of mind. Demonstrable, jud