Senior Platform Engineer – AI Native

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Lead the design, execution, and delivery of intricate infrastructure projects.

• Develop and scale infrastructure tailored for AI workloads, focusing on cost efficiency, API reliability, and platform support for LLM-powered features.

• Troubleshoot cluster behavior under load, manage service-to-service traffic, address event-backbone consumer lag, and enhance database performance.

• Oversee the infrastructure-as-code framework, maintaining visibility on drift and ensuring module standards are met.

• Enhance delivery pipelines by implementing policy-as-code gates, progressive delivery, and ensuring changes are tested, reviewed, and auditable.

• Contribute to internal AI tools, including the MCP server and agentic workflows that minimize operational toil.

• Develop cost control measures through right-sizing, reserved capacity, and eliminating waste.

• Mentor colleagues through code pairing, review processes, and knowledge sharing.

• Collaborate with the infrastructure team to address security and governance matters.

• Achieve outcomes such as decreased operational effort, enhanced platform reliability, systemic incident resolutions, comprehensive infrastructure projects, reconciled drift, and adherence to established standards.

⛳️ Requirements

• Proficient software engineering capabilities in at least one programming language, with the flexibility to transition between languages.

• Experience in managing production infrastructure on a major cloud platform, including handling incidents.

• Extensive knowledge of infrastructure-as-code principles, encompassing state and module design.

• Practical experience with Kubernetes in production settings, including troubleshooting problematic clusters.

• Familiarity with CI/CD processes, particularly in pipeline design.

• Critical and proficient use of AI tools, along with an understanding of their limitations.

• Capability to work remotely in an asynchronous-first work environment.

• Composed and systematic incident response with clear communication during high-pressure situations.

• Availability overlap with the UK team within GMT+0 to GMT+4.

• Desirable: experience in freight, logistics, supply chain, B2B SaaS, or operational technology.

• Desirable: experience with workflow automation or orchestration tools, such as n8n.

• Desirable: familiarity with service mesh, event streaming at scale, or managed Postgres-compatible databases.

• Desirable: knowledge of identity and access management, SSO, secret management, or SRE methodologies.

• Desirable: experience working with LLM APIs, MCP servers, or agentic tooling.

🏝️ Benefits

• Fully remote work options.

• Async-first working culture.

• Flexible location, with consideration for GMT+0 to GMT+4 overlap with the UK team.

• Opportunities for pairing, code reviews, and knowledge sharing.

• Mentorship and professional development through enhanced judgment.