Lead Developer – FULLY REMOTE

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London – 1-2 days per week onsite (potential flexibility for the right person) We’re working with a growing AI/infrastructure technology business building cutting-edge software used across critical infrastructure environments.

They’re looking for a hands-on Engineering Manager / Head of Engineering to help manage and scale a small multidisciplinary engineering team whilst remaining heavily involved technically. This is roughly a 50/50 split between hands-on engineering/architecture and people leadership. The environment is pragmatic and collaborative – they’re not looking for a “superstar” CTO profile, more someone technically solid who can guide a team, make sensible architectural decisions and help drive delivery.

What you’ll be doing Leading and mentoring a team of engineers across backend, platform and frontend Remaining hands-on with backend engineering (primarily Go) Helping shape system architecture and technical direction Working closely with Product and leadership on delivery priorities Supporting engineering best practices, CI/CD and platform reliability Helping scale engineering processes and team structure as the company grows

Tech Environment Go GCP Linux React / TypeScript GitHub / CI/CD Cloudflare Sentry

What they’re looking for Strong backend engineering experience with Go Good understanding of distributed/backend systems and architecture Experience leading or mentoring engineers Comfortable operating in a smaller, scaling engineering environment Strong communication and stakeholder skills GCP and Linux experience

Useful extras Computer Vision / AI exposure Python experience Platform / DevOps understanding

The company works on genuinely interesting “tech for good” problems, applying AI and computer vision to improve infrastructure safety and efficiency across large-scale transport environments.”, “datePosted”: “2026-05-23”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Arrows”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__439442620__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }

Company: Arrows
Apply for the Lead Developer – FULLY REMOTE
Location: London
Job Description:

Head of Engineering / Senior Engineering Manager (Go / GCP)£80,000 – £90,000 + benefits

London – 1-2 days per week onsite (potential flexibility for the right person) We’re working with a growing AI/infrastructure technology business building cutting-edge software used across critical infrastructure environments.

They’re looking for a hands-on Engineering Manager / Head of Engineering to help manage and scale a small multidisciplinary engineering team whilst remaining heavily involved technically. This is roughly a 50/50 split between hands-on engineering/architecture and people leadership. The environment is pragmatic and collaborative – they’re not looking for a “superstar” CTO profile, more someone technically solid who can guide a team, make sensible architectural decisions and help drive delivery.

What you’ll be doing Leading and mentoring a team of engineers across backend, platform and frontend Remaining hands-on with backend engineering (primarily Go) Helping shape system architecture and technical direction Working closely with Product and leadership on delivery priorities Supporting engineering best practices, CI/CD and platform reliability Helping scale engineering processes and team structure as the company grows

Tech Environment Go GCP Linux React / TypeScript GitHub / CI/CD Cloudflare Sentry

What they’re looking for Strong backend engineering experience with Go Good understanding of distributed/backend systems and architecture Experience leading or mentoring engineers Comfortable operating in a smaller, scaling engineering environment Strong communication and stakeholder skills GCP and Linux experience

Useful extras Computer Vision / AI exposure Python experience Platform / DevOps understanding

The company works on genuinely interesting “tech for good” problems, applying AI and computer vision to improve infrastructure safety and efficiency across large-scale transport environments….

Posted: May 23rd, 2026