About Us
At Bezos, our vision is to Deliver Happiness - for our team, for end consumers, for the e-commerce brands we serve, and for our logistics partners. We're the managed global fulfilment partner for scaling e-commerce brands: one platform and one team handling fulfilment across a global fulfilment network, spanning the UK, Europe, North America and Australia. We give growing brands enterprise-grade logistics without the enterprise-grade complexity. We're a fast-moving, AI-native, Series A startup that will almost double our business in 2026 - and the platform that makes it all run is exactly what you'll build.
The Mission: What You Will Achieve
You'll become a cornerstone of our engineering team and help build the platform that powers global fulfilment - orders, inventory, shipments and returns flowing across our network every day. Reporting directly to the Head of Engineering, you won't just write production-grade code: you'll own core services end-to-end, mentor other engineers, influence the big technical decisions, and help shape how we build.
We're genuinely AI-native and we expect our engineers to build with AI every day. This is a hands-on, high-impact seat in a small team where one exceptional engineer changes the trajectory of the whole business.
Core Pillars of Success
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Build the core platform. Design, develop and maintain scalable, secure services and APIs in our serverless cloud environment, predominantly in Go and React.
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Own it end-to-end. Take domain-specific services from architectural design through to deployment, monitoring, and investigating and fixing the root causes of issues - you build it, you run it.
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Build with AI. Use modern AI-powered dev tools (Claude Code, Cursor, GitHub Copilot) every day to ship faster, and help set the standard for how we engineer with AI.
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Champion engineering excellence. Raise the bar on development workflows, testing, deployment and observability. Release small, fast and often - and keep the code simple, because the best code is the code you don't have to write.
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Level up the team. Mentor other engineers through code reviews, pair programming and design discussions, and help shape our engineering culture and best practice.
In Your First 90 Days, You Will
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Get to know the platform end-to-end and ship your first production code in your opening weeks
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Take ownership of a domain-specific service, from design through to deployment and monitoring
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Establish your AI-assisted engineering workflow and share what's working with the team
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Start raising the bar through code reviews, pairing and design discussions
Our Tech Stack
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Core Language: Go, React
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Cloud Provider: AWS (Lambda, SNS, SQS, S3, EC2, Cognito, CloudWatch)
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Database: PostgreSQL
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Infrastructure as Code: Terraform
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Architecture: event-driven, serverless-first microservices
Requirements
Who You Are: Skills & Experience
Non-Negotiables:
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2+ years in a senior software engineering role, ideally in a startup environment
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Strong backend fundamentals and deep commercial experience with Go - or a strong systems background in another language and the drive to master Go fast
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Extensive experience with AWS, event-driven architecture and serverless infrastructure like AWS Lambda
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Fluent designing and building RESTful APIs, with a solid grasp of microservice and serverless architectures
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AI-native - you already use AI-powered dev tools (Claude Code, Cursor, Copilot) and are genuinely excited to build with them every day
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A pragmatic builder with a knack for simplifying complex systems and shipping scalable solutions
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A product-oriented mindset - you care deeply about solving real user problems, not just shipping output
Bonus Points (Nice to Have):
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Strong React / front-end experience
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Terraform or other infrastructure-as-code
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E-commerce, logistics or supply-chain exposure
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Experience mentoring engineers or leading technical projects
Benefits
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Build the core platform that powers global fulfilment
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Real ownership and unusually fast scope - a hands-on software developer role where you can shape your career path
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An AI-native engineering culture where building with AI is the default, not an experiment
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Remote-first team, meeting in person a couple of times a month
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25 days holiday + 8 bank holidays
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Mental health support through Spill, and a free Headspace subscription
