About the role

Lead the technical direction of LoopOS platform.
Hands-on role with 60% coding and infrastructure work.
Focus on AI-accelerated workflows in development.
Manage production infrastructure and reliability.
Collaborate with clients on technical implementations.

Skills the posting asks for

Ruby on Rails
React
Kubernetes
AWS
Terraform

Summarised from the employer’s posting, which is reproduced in full below.

The employer’s full posting

About Loop

The Loop builds LoopOS, the ERP for circularity: trade-in, refurbishment and recommerce operations for leading European retailers. Our platform runs mission-critical operations under contractual SLAs — real stores, real warehouses, real devices moving through it every day. We're entering a new phase: transforming how we do software engineering for an AI-accelerated world, and scaling how fast we bring new clients live.

About Role

You'll be the technical owner of the current LoopOS platform — a multi-app estate of ~15 repositories (Rails backends + React frontends) running on Kubernetes/AWS — and the person who leads its evolution into agentic engineering. This is a hands-on technical leadership role (~60% of your time in code and infra), not a people-management role. The team — 4 engineers and 2 delivery/business analysts — keeps its current reporting lines; what you own is the technical direction and the way we work. You'll partner directly with the CTO.

Responsibilities

Own the platform end-to-end — architecture, production infrastructure, dev environments, observability, documentation and release cycles across the LoopOS estate.
Operate it reliably — availability and performance KPIs at enterprise clients with contractual SLAs: monitoring, incident response, debugging across code and infra, shipping fixes fast.
Ship — develop new functionality when needed, respond to bugs, manage release cycles.
Accelerate implementations — pair with the delivery/implementation team to bring new clients live on LoopOS, and make each implementation faster than the last (tooling, templates, automation, documentation).
Lead the agentic transformation — introduce AI-accelerated workflows across development, SRE, support, debugging and implementation: agent-assisted coding, agentic code review, bug-to-PR loops, context engineering for our repos. You'll have carte blanche and budget — and you'll be measured on real, adopted change in how the team ships, not on theoretical plans.
Be the technical voice with clients — join implementation and pre-sales discussions at the technical layer (mostly remote; occasional travel).

Requirements

A senior engineer who has owned production platforms end-to-end — architecture, infra, reliability
ideally across Rails/React or comparable full-stack estates.
Strong on Kubernetes, AWS, infrastructure-as-code and observability; comfortable being accountable for SLAs. Already AI-native: agentic coding tools (Claude Code, Cursor or similar) are part of your daily work, and you have opinions from practice, not from posts about what works.
A pragmatic change leader: you bring a team along by shipping improvements they feel, not by mandating process.
A clear communicator in English, comfortable in technical client conversations. Portuguese is a plus.
Bonus: ERP / retail / logistics domain, multi-tenant SaaS, release management of client-specific deployments.
Tech stack : Ruby on Rails · React · Kubernetes · AWS · Terraform · Helm · GitLab CI/CD · Datadog · Sentry