Lead Full Stack Engineer – Industrial AI Platform

Location:  Reading

WFH: Minimum 3 days in the office a week (hybrid and flexible working)

Java | Angular | AWS

£70,000 - £100,000

We are a high-growth scale-up building a cloud SaaS platform that enables industrial and energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence.

Our platform is becoming the “mission control” for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working with some of the world’s leading industrial organisations, this platform is central to our long-term SaaS growth strategy.

The Opportunity

We’re hiring a Lead Engineer to take ownership of the architecture, development, and delivery of our platform. You’ll be both hands-on and strategic: shaping the technology roadmap, delivering core features, and setting the foundations for future team growth.

Why Join Us?

• Work at the intersection of cloud, AI/ML, and industrial robotics
• Shape a platform already adopted by global enterprise customers
• Influence a product roadmap focused on predictive analytics and customer-driven ML models
• Step into a leadership role, with the opportunity to hire and mentor engineers as we scale

What You’ll Do

• Own the end-to-end design and architecture of a SaaS platform
• Deliver across backend (Java) and frontend (Angular) systems
• Build secure, scalable cloud infrastructure (AWS)
• Implement APIs, authentication (SSO/LDAP), and secure data pipelines
• Develop dashboards and data visualisations to transform complex datasets into actionable insights
• Partner with leadership to define the technical vision and roadmap
• Scale into a leadership role with opportunities to recruit and mentor engineers

What We’re Looking For

• Strong experience building and delivering cloud-based SaaS products
• Hands-on expertise with Java (backend) and Angular (frontend)
• Skilled in AWS cloud services
• Solid understanding of APIs, authentication, and security protocols (SSO, LDAP)
• Experience with data visualisation and analytics platforms
• Proven ability to design and deliver scalable, secure architectures
• Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments

Nice-to-Haves

• Knowledge of machine learning, image processing, or predictive analytics
• Exposure to IoT or industrial data

• Previous experience in a start-up or high-growth SaaS company