Founding Software Engineer – Backend, DevOps & Applied AI

Acceler8 Talent — United Kingdom · Posted ~21 hours ago

Mid Full-time Onsite Visa History ✓

Skills

Python TypeScript Backend development Event-driven architecture Cloud infrastructure DevOps CI/CD Observability Production reliability Applied AI Machine learning Real-time systems Event-driven systems AI

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Summary ✨ AI‑Generated

Join an early-stage technology team as a founding software engineer, taking broad ownership across backend development, cloud infrastructure, DevOps, production reliability, and applied AI. You’ll build production-grade systems with Python and TypeScript, develop event-driven infrastructure for real-time workflows, manage deployments and observability, and apply machine learning to complex coordination and decision-making challenges. The role is well suited to an engineer with around 2–3 years of experience who has already shipped production software and is seeking substantial autonomy and responsibility.

Highlights

High-ownership founding engineering role with broad responsibility across backend engineering, cloud infrastructure, production reliability, and applied AI. Offers the opportunity to work on complex real-time operational problems, ship production software, and take significantly more ownership than in a large organization.

Description

🚨 Software Engineer – Backend, DevOps & Applied AI 📍 London – Onsite I’m working with an early-stage AI company building the workforce coordination platform for critical infrastructure. Their technology brings fragmented operational data into one real-time system, helping teams predict disruption, coordinate people and keep complex operations running on time. This is a high-ownership Software Engineer opportunity for someone with roughly 2–3 years of experience who has already shipped real software to production and wants significantly more responsibility than they would receive inside a large organisation. You’ll work across: 💻 Building production-grade backend systems using Python and TypeScript ⚙️ Developing reliable, event-driven infrastructure for real-time operational workflows ☁️ Owning cloud infrastructure, deployments, observability and production reliability 🤖 Applying ML and AI to complex coordination and decision-making problems 📊 Turning fragmented customer data into reliable, actionable operational intelligence 🚀 Taking projects from an ambiguous problem through architecture, implementation, testing and production deployment 🤝 Working directly with founders and customers to understand operational challenges and ship practical solutions quickly ✈️ Travelling approximately one week per month as engineers gradually take ownership of customer deployments from the founders Requirements: ✅ Approximately 2–3 years of professional software engineering experience ✅ Strong hands-on ability with Python and/or TypeScript ✅ Experience building backend services, infrastructure, deployment systems or applied ML products ✅ Evidence of personally shipping software into production and operating it safely ✅ Strong engineering fundamentals and the ability to reason critically about unfamiliar problems ✅ Comfort balancing backend development, deployments and live customer feedback simultaneously ✅ High emotional intelligence and the ability to communicate effectively with both technical and operational stakeholders ✅ Genuine enthusiasm for an intense, fast-moving startup where responsibility extends beyond a narrow job description ⭐ Applied AI, customer-facing infrastructure or forward-deployed engineering experience is highly valuable ⭐ A strong academic background or experience within a high-calibre engineering organisation is advantageous They are looking for a curious, competitive and emotionally intelligent engineer who can move between code, infrastructure and customer problems without waiting for someone else to define every step. You’ll join a small, ambitious team building AI systems for operational environments where reliability and real-world outcomes matter. It is an opportunity to take meaningful ownership early, work closely with the founders and help shape both the product and the engineering culture. 💰 £120k-£150k base salary + founding equity