Senior Platform Engineer – AI Native

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Zencargo

201 - 500 employees

📦 Logistics

🚗 Transport

☁️ SaaS

💰 $42M Series B on 2021-05

Logistics • Transport • SaaS

Zencargo is a global digital freight forwarder that empowers businesses to make their supply chains a competitive advantage. They offer personalised freight solutions across ocean, air, and road, utilizing AI-driven technology to help customers make smarter decisions. Their platform provides enhanced visibility, real-time tracking, and collaboration tools to optimize supply chain management. Zencargo also focuses on sustainability, offering tools to reduce and offset CO2 emissions. They leverage data analytics to improve logistics and supply chain efficiency, ensuring businesses can adapt to market changes and maintain excellent customer service.

📋 Description

• Lead the design, implementation and delivery of complex infrastructure projects • Build and scale infrastructure for AI workloads, including cost, API reliability and platform support for LLM-powered features • Debug cluster behaviour under load, service-to-service traffic, event-backbone consumer lag and database performance • Own the infrastructure-as-code estate, keeping drift visible and reconciled and setting module standards • Advance delivery pipelines with policy-as-code gates, progressive delivery and tested, reviewed and auditable changes • Contribute to internal AI tooling, including the MCP server and agentic workflows that reduce operational toil • Engineer cost controls through right-sizing, reserved capacity and waste removal • Mentor peers through pairing, code review and knowledge sharing • Cover security and governance in collaboration with the infrastructure team • Deliver outcomes including reduced operational effort, improved platform reliability, systemic incident fixes, end-to-end infrastructure projects, reconciled drift and adopted standards

🎯 Requirements

• Strong software engineering skills in at least one programming language, with ability to move between languages • Production infrastructure ownership on a major cloud platform, including incident experience • Deep infrastructure-as-code knowledge, including state and module design • Production Kubernetes experience, including debugging misbehaving clusters • CI/CD fluency, including pipeline design • Fluent, critical use of AI tooling and understanding of its limitations • Ability to work remotely in an async-first environment • Calm, methodical incident response and clear communication under pressure • GMT+0 to GMT+4 overlap with the UK team • Desirable: freight, logistics, supply chain, B2B SaaS or operational technology experience • Desirable: workflow automation or orchestration experience, such as n8n • Desirable: service mesh, event streaming at scale or managed Postgres-compatible database experience • Desirable: identity and access management, SSO, secret management or SRE methodology familiarity • Desirable: experience building with LLM APIs, MCP servers or agentic tooling

🏖️ Benefits

• Fully remote work • Async-first working environment • Flexible location, subject to GMT+0 to GMT+4 overlap with the UK team • Pairing, code review and knowledge sharing • Mentorship and professional growth through expanding judgement

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