Software Engineer

Responsibilities

• Designing, building and owning end-to-end features across our stack (Node.js, TypeScript, Vue.js, GraphQL, AWS, serverless, SQL/DynamoDB).
• Shipping production features across the platform - transport planning, driver apps, payments and intelligence.
• Working directly with customers and internal teams to understand workflows, diagnose issues and turn messy real-world problems into robust, simple solutions.
• Prototyping and iterating on AI-powered tools that improve planning, decision-making and operational efficiency.
• Joining occasional customer calls or on-site visits (with Product, Design or CS) when context helps us build the right thing.
• Turning qualitative feedback and operational data into clear technical requirements.
• Collaborating with Product and Design to prototype, validate and ship user-centred solutions quickly.
• Improving performance, observability and reliability across the platform as we scale.
• Contributing to internal playbooks, documentation and engineering best practices so we keep raising the bar as we grow.

Requirements

• 3+ years 99 experience building web applications in a modern stack.
• Strong experience (or clear aptitude) with some of: Node.js, TypeScript, Vue.js, GraphQL, AWS, serverless, SQL/DynamoDB.
• Solid understanding of Git, CI/CD and modern engineering workflows.
• A high-execution mindset - you enjoy owning problems end-to-end, not just closing tickets.
• Comfort working directly with non-technical stakeholders (operations teams, customers, leadership) to understand workflows and ship the right solutions.
• Curiosity about AI and automation - whether that's LLMs, optimisation or smarter internal tools - and a desire to experiment pragmatically.
• A strong product mindset: you care about impact, usability and adoption just as much as clean code.
• A builder's attitude: you're comfortable with ambiguity, evolving processes and wearing multiple hats in an early-stage environment.
• Experience in logistics, automotive, operations-heavy or marketplace businesses.
• Exposure to (or interest in):

• TDD and structured testing practices
• Data modelling in DynamoDB or relational databases
• Building internal tools or operational workflows
• Applying AI/ML techniques in production, even in scrappy, lightweight ways

• You prefer highly defined processes, long planning cycles and predictable structures.
• You're not comfortable speaking directly with users or non-technical teams.
• You want narrow responsibilities rather than a mix of product, engineering and discovery work.
• You find ambiguity frustrating rather than energising.