Platform Engineer Zencoder · Remote · Europe · Platform & Infrastructure not stated ago

Senior Platform & Infrastructure role ote.

devopsroles summary, based on the employer's posting.

• Build and maintain the infrastructure and platform foundations product teams use to run their services
• Improve the path from local development through CI/CD, deployment and observability, including workflows for remote agents
• Create shared tools, templates and recommended workflows that teams can adopt across their work
• Set engineering standards and help product teams improve their tooling, infrastructure, security and use of coding agents
• Strengthen secure delivery as AI agents change how software vulnerabilities arise and are exploited

• A strong software engineering background, with hands-on experience building tools and operating core infrastructure
• Practical fluency with AI coding agents, including their limitations and what helps them work effectively
• Deep experience with CI/CD, automated testing, infrastructure as code, cloud and developer tools
• A product-focused approach to internal platforms, with attention to whether they help engineers and agents work faster
• A commitment to software security and secure delivery in both conventional systems and AI-agent workflows

This is a hands-on lead role for a senior engineer who wants to improve engineering workflows and infrastructure across teams, rather than only owning one service. It suits someone comfortable working directly in code, infrastructure and pipelines while guiding standards and helping teams improve. The role is remote-first and open globally, with optional weekly coworking at the Barcelona hub.

, we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks.

We're looking for an experienced engineer to raise the bar on how our organization builds, tests, ships, and operates software - for both human engineers and AI coding agents.

This is AI harness engineering: the discipline of making the fundamentals (CI/CD, testing, IaC, observability, secure delivery) so solid and well-shaped that agents can work productively inside them. Developer experience and platform engineering are a subset of that work. When the harness is good, humans ship faster and agents stop getting stuck on things that shouldn't be hard.

Security is inseparable from this. AI agents are accelerating both the pace and the shape of vulnerabilities, and secure delivery has to be built into the same stream as everything else - not bolted on.

Product teams own their services, pipelines, and tests. Your job is to raise the ceiling across the org - defining standards, building leverage, and helping teams level up their workflows, tooling, infrastructure, security posture, and necessary changes to get the most out of coding agents.

This is a hands-on lead role - you'll be deep in the code, infra, and pipelines yourself.

• Shape the platform and infrastructure that everything else runs on - the foundations product teams build on top of;
• Improve the full developer loop: local development, remote agents, CI/CD, deployment, observability;
• Build shared tooling, templates, and golden paths that create real leverage - paved roads teams actually want to use;
• Stay ahead of the shifting security landscape as AI agents reshape both how vulnerabilities emerge and how they're exploited.

• Strong software engineering background - you will be building both tooling and managing core infrastructure in this role;
• Real fluency with AI coding agents - how they work, where they fail, and what makes them effective;
• A product…